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| import os | |
| import warnings | |
| from modules.logging_colors import logger | |
| from modules.block_requests import RequestBlocker | |
| os.environ['GRADIO_ANALYTICS_ENABLED'] = 'False' | |
| os.environ['BITSANDBYTES_NOWELCOME'] = '1' | |
| warnings.filterwarnings('ignore', category=UserWarning, message='TypedStorage is deprecated') | |
| with RequestBlocker(): | |
| import gradio as gr | |
| import matplotlib | |
| matplotlib.use('Agg') # This fixes LaTeX rendering on some systems | |
| import importlib | |
| import json | |
| import math | |
| import os | |
| import re | |
| import sys | |
| import time | |
| import traceback | |
| from functools import partial | |
| from pathlib import Path | |
| from threading import Lock | |
| import psutil | |
| import torch | |
| import yaml | |
| from PIL import Image | |
| import modules.extensions as extensions_module | |
| from modules import chat, loaders, presets, shared, training, ui, utils | |
| from modules.extensions import apply_extensions | |
| from modules.github import clone_or_pull_repository | |
| from modules.html_generator import chat_html_wrapper | |
| from modules.LoRA import add_lora_to_model | |
| from modules.models import load_model, unload_model | |
| from modules.models_settings import ( | |
| apply_model_settings_to_state, | |
| get_model_settings_from_yamls, | |
| save_model_settings, | |
| update_model_parameters | |
| ) | |
| from modules.text_generation import ( | |
| generate_reply_wrapper, | |
| get_encoded_length, | |
| stop_everything_event | |
| ) | |
| def load_model_wrapper(selected_model, loader, autoload=False): | |
| if not autoload: | |
| yield f"The settings for {selected_model} have been updated.\nClick on \"Load the model\" to load it." | |
| return | |
| if selected_model == 'None': | |
| yield "No model selected" | |
| else: | |
| try: | |
| yield f"Loading {selected_model}..." | |
| shared.model_name = selected_model | |
| unload_model() | |
| if selected_model != '': | |
| shared.model, shared.tokenizer = load_model(shared.model_name, loader) | |
| if shared.model is not None: | |
| yield f"Successfully loaded {selected_model}" | |
| else: | |
| yield f"Failed to load {selected_model}." | |
| except: | |
| exc = traceback.format_exc() | |
| logger.error('Failed to load the model.') | |
| print(exc) | |
| yield exc | |
| def load_lora_wrapper(selected_loras): | |
| yield ("Applying the following LoRAs to {}:\n\n{}".format(shared.model_name, '\n'.join(selected_loras))) | |
| add_lora_to_model(selected_loras) | |
| yield ("Successfuly applied the LoRAs") | |
| def load_prompt(fname): | |
| if fname in ['None', '']: | |
| return '' | |
| elif fname.startswith('Instruct-'): | |
| fname = re.sub('^Instruct-', '', fname) | |
| file_path = Path(f'characters/instruction-following/{fname}.yaml') | |
| if not file_path.exists(): | |
| return '' | |
| with open(file_path, 'r', encoding='utf-8') as f: | |
| data = yaml.safe_load(f) | |
| output = '' | |
| if 'context' in data: | |
| output += data['context'] | |
| replacements = { | |
| '<|user|>': data['user'], | |
| '<|bot|>': data['bot'], | |
| '<|user-message|>': 'Input', | |
| } | |
| output += utils.replace_all(data['turn_template'].split('<|bot-message|>')[0], replacements) | |
| return output.rstrip(' ') | |
| else: | |
| file_path = Path(f'prompts/{fname}.txt') | |
| if not file_path.exists(): | |
| return '' | |
| with open(file_path, 'r', encoding='utf-8') as f: | |
| text = f.read() | |
| if text[-1] == '\n': | |
| text = text[:-1] | |
| return text | |
| def count_tokens(text): | |
| try: | |
| tokens = get_encoded_length(text) | |
| return f'{tokens} tokens in the input.' | |
| except: | |
| return 'Couldn\'t count the number of tokens. Is a tokenizer loaded?' | |
| def download_model_wrapper(repo_id, progress=gr.Progress()): | |
| try: | |
| downloader_module = importlib.import_module("download-model") | |
| downloader = downloader_module.ModelDownloader() | |
| repo_id_parts = repo_id.split(":") | |
| model = repo_id_parts[0] if len(repo_id_parts) > 0 else repo_id | |
| branch = repo_id_parts[1] if len(repo_id_parts) > 1 else "main" | |
| check = False | |
| progress(0.0) | |
| yield ("Cleaning up the model/branch names") | |
| model, branch = downloader.sanitize_model_and_branch_names(model, branch) | |
| yield ("Getting the download links from Hugging Face") | |
| links, sha256, is_lora = downloader.get_download_links_from_huggingface(model, branch, text_only=False) | |
| yield ("Getting the output folder") | |
| output_folder = downloader.get_output_folder(model, branch, is_lora) | |
| if check: | |
| progress(0.5) | |
| yield ("Checking previously downloaded files") | |
| downloader.check_model_files(model, branch, links, sha256, output_folder) | |
| progress(1.0) | |
| else: | |
| yield (f"Downloading files to {output_folder}") | |
| downloader.download_model_files(model, branch, links, sha256, output_folder, progress_bar=progress, | |
| threads=1) | |
| yield ("Done!") | |
| except: | |
| progress(1.0) | |
| yield traceback.format_exc() | |
| def create_model_menus(): | |
| # Finding the default values for the GPU and CPU memories | |
| total_mem = [] | |
| for i in range(torch.cuda.device_count()): | |
| total_mem.append(math.floor(torch.cuda.get_device_properties(i).total_memory / (1024 * 1024))) | |
| default_gpu_mem = [] | |
| if shared.args.gpu_memory is not None and len(shared.args.gpu_memory) > 0: | |
| for i in shared.args.gpu_memory: | |
| if 'mib' in i.lower(): | |
| default_gpu_mem.append(int(re.sub('[a-zA-Z ]', '', i))) | |
| else: | |
| default_gpu_mem.append(int(re.sub('[a-zA-Z ]', '', i)) * 1000) | |
| while len(default_gpu_mem) < len(total_mem): | |
| default_gpu_mem.append(0) | |
| total_cpu_mem = math.floor(psutil.virtual_memory().total / (1024 * 1024)) | |
| if shared.args.cpu_memory is not None: | |
| default_cpu_mem = re.sub('[a-zA-Z ]', '', shared.args.cpu_memory) | |
| else: | |
| default_cpu_mem = 0 | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['model_menu'] = gr.Dropdown(choices=utils.get_available_models(), | |
| value=shared.model_name, label='Model', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['model_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_models()}, 'refresh-button') | |
| load = gr.Button("Load", visible=not shared.settings['autoload_model'], | |
| elem_classes='refresh-button') | |
| unload = gr.Button("Unload", elem_classes='refresh-button') | |
| reload = gr.Button("Reload", elem_classes='refresh-button') | |
| save_settings = gr.Button("Save settings", elem_classes='refresh-button') | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['lora_menu'] = gr.Dropdown(multiselect=True, choices=utils.get_available_loras(), | |
| value=shared.lora_names, label='LoRA(s)', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['lora_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_loras(), | |
| 'value': shared.lora_names}, 'refresh-button') | |
| shared.gradio['lora_menu_apply'] = gr.Button(value='Apply LoRAs', elem_classes='refresh-button') | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['loader'] = gr.Dropdown(label="Model loader", | |
| choices=["Transformers", "AutoGPTQ", "GPTQ-for-LLaMa", "ExLlama", | |
| "ExLlama_HF", "llama.cpp"], value=None) | |
| with gr.Box(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| for i in range(len(total_mem)): | |
| shared.gradio[f'gpu_memory_{i}'] = gr.Slider(label=f"gpu-memory in MiB for device :{i}", | |
| maximum=total_mem[i], value=default_gpu_mem[i]) | |
| shared.gradio['cpu_memory'] = gr.Slider(label="cpu-memory in MiB", maximum=total_cpu_mem, | |
| value=default_cpu_mem) | |
| shared.gradio['transformers_info'] = gr.Markdown('load-in-4bit params:') | |
| shared.gradio['compute_dtype'] = gr.Dropdown(label="compute_dtype", | |
| choices=["bfloat16", "float16", "float32"], | |
| value=shared.args.compute_dtype) | |
| shared.gradio['quant_type'] = gr.Dropdown(label="quant_type", choices=["nf4", "fp4"], | |
| value=shared.args.quant_type) | |
| shared.gradio['threads'] = gr.Slider(label="threads", minimum=0, step=1, maximum=32, | |
| value=shared.args.threads) | |
| shared.gradio['n_batch'] = gr.Slider(label="n_batch", minimum=1, maximum=2048, | |
| value=shared.args.n_batch) | |
| shared.gradio['n_gpu_layers'] = gr.Slider(label="n-gpu-layers", minimum=0, maximum=128, | |
| value=shared.args.n_gpu_layers) | |
| shared.gradio['n_ctx'] = gr.Slider(minimum=0, maximum=16384, step=256, label="n_ctx", | |
| value=shared.args.n_ctx) | |
| shared.gradio['wbits'] = gr.Dropdown(label="wbits", choices=["None", 1, 2, 3, 4, 8], | |
| value=shared.args.wbits if shared.args.wbits > 0 else "None") | |
| shared.gradio['groupsize'] = gr.Dropdown(label="groupsize", choices=["None", 32, 64, 128, 1024], | |
| value=shared.args.groupsize if shared.args.groupsize > 0 else "None") | |
| shared.gradio['model_type'] = gr.Dropdown(label="model_type", | |
| choices=["None", "llama", "opt", "gptj"], | |
| value=shared.args.model_type or "None") | |
| shared.gradio['pre_layer'] = gr.Slider(label="pre_layer", minimum=0, maximum=100, | |
| value=shared.args.pre_layer[ | |
| 0] if shared.args.pre_layer is not None else 0) | |
| shared.gradio['autogptq_info'] = gr.Markdown( | |
| 'On some systems, AutoGPTQ can be 2x slower than GPTQ-for-LLaMa. You can manually select the GPTQ-for-LLaMa loader above.') | |
| shared.gradio['gpu_split'] = gr.Textbox(label='gpu-split', | |
| info='Comma-separated list of VRAM (in GB) to use per GPU. Example: 20,7,7') | |
| shared.gradio['max_seq_len'] = gr.Slider(label='max_seq_len', minimum=2048, maximum=16384, | |
| step=256, info='Maximum sequence length.', | |
| value=shared.args.max_seq_len) | |
| shared.gradio['compress_pos_emb'] = gr.Slider(label='compress_pos_emb', minimum=1, maximum=8, | |
| step=1, | |
| info='Positional embeddings compression factor. Should typically be set to max_seq_len / 2048.', | |
| value=shared.args.compress_pos_emb) | |
| with gr.Column(): | |
| shared.gradio['triton'] = gr.Checkbox(label="triton", value=shared.args.triton) | |
| shared.gradio['no_inject_fused_attention'] = gr.Checkbox(label="no_inject_fused_attention", | |
| value=shared.args.no_inject_fused_attention, | |
| info='Disable fused attention. Fused attention improves inference performance but uses more VRAM. Disable if running low on VRAM.') | |
| shared.gradio['no_inject_fused_mlp'] = gr.Checkbox(label="no_inject_fused_mlp", | |
| value=shared.args.no_inject_fused_mlp, | |
| info='Affects Triton only. Disable fused MLP. Fused MLP improves performance but uses more VRAM. Disable if running low on VRAM.') | |
| shared.gradio['no_use_cuda_fp16'] = gr.Checkbox(label="no_use_cuda_fp16", | |
| value=shared.args.no_use_cuda_fp16, | |
| info='This can make models faster on some systems.') | |
| shared.gradio['desc_act'] = gr.Checkbox(label="desc_act", value=shared.args.desc_act, | |
| info='\'desc_act\', \'wbits\', and \'groupsize\' are used for old models without a quantize_config.json.') | |
| shared.gradio['cpu'] = gr.Checkbox(label="cpu", value=shared.args.cpu) | |
| shared.gradio['load_in_8bit'] = gr.Checkbox(label="load-in-8bit", | |
| value=shared.args.load_in_8bit) | |
| shared.gradio['bf16'] = gr.Checkbox(label="bf16", value=shared.args.bf16) | |
| shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", | |
| value=shared.args.auto_devices) | |
| shared.gradio['disk'] = gr.Checkbox(label="disk", value=shared.args.disk) | |
| shared.gradio['load_in_4bit'] = gr.Checkbox(label="load-in-4bit", | |
| value=shared.args.load_in_4bit) | |
| shared.gradio['use_double_quant'] = gr.Checkbox(label="use_double_quant", | |
| value=shared.args.use_double_quant) | |
| shared.gradio['no_mmap'] = gr.Checkbox(label="no-mmap", value=shared.args.no_mmap) | |
| shared.gradio['mlock'] = gr.Checkbox(label="mlock", value=shared.args.mlock) | |
| shared.gradio['llama_cpp_seed'] = gr.Number(label='Seed (0 for random)', | |
| value=shared.args.llama_cpp_seed) | |
| shared.gradio['trust_remote_code'] = gr.Checkbox(label="trust-remote-code", | |
| value=shared.args.trust_remote_code, | |
| info='Make sure to inspect the .py files inside the model folder before loading it with this option enabled.') | |
| shared.gradio['gptq_for_llama_info'] = gr.Markdown( | |
| 'GPTQ-for-LLaMa is currently 2x faster than AutoGPTQ on some systems. It is installed by default with the one-click installers. Otherwise, it has to be installed manually following the instructions here: [instructions](https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md#installation-1).') | |
| shared.gradio['exllama_info'] = gr.Markdown( | |
| 'For more information, consult the [docs](https://github.com/oobabooga/text-generation-webui/blob/main/docs/ExLlama.md).') | |
| shared.gradio['exllama_HF_info'] = gr.Markdown( | |
| 'ExLlama_HF is a wrapper that lets you use ExLlama like a Transformers model, which means it can use the Transformers samplers. It\'s a bit slower than the regular ExLlama.') | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['autoload_model'] = gr.Checkbox(value=shared.settings['autoload_model'], | |
| label='Autoload the model', | |
| info='Whether to load the model as soon as it is selected in the Model dropdown.') | |
| shared.gradio['custom_model_menu'] = gr.Textbox(label="Download custom model or LoRA", | |
| info="Enter the Hugging Face username/model path, for instance: facebook/galactica-125m. To specify a branch, add it at the end after a \":\" character like this: facebook/galactica-125m:main") | |
| shared.gradio['download_model_button'] = gr.Button("Download") | |
| with gr.Row(): | |
| shared.gradio['model_status'] = gr.Markdown( | |
| 'No model is loaded' if shared.model_name == 'None' else 'Ready') | |
| shared.gradio['loader'].change(loaders.make_loader_params_visible, shared.gradio['loader'], | |
| [shared.gradio[k] for k in loaders.get_all_params()]) | |
| # In this event handler, the interface state is read and updated | |
| # with the model defaults (if any), and then the model is loaded | |
| # unless "autoload_model" is unchecked | |
| shared.gradio['model_menu'].change( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| apply_model_settings_to_state, [shared.gradio[k] for k in ['model_menu', 'interface_state']], | |
| shared.gradio['interface_state']).then( | |
| ui.apply_interface_values, shared.gradio['interface_state'], | |
| [shared.gradio[k] for k in ui.list_interface_input_elements(chat=shared.is_chat())], show_progress=False).then( | |
| update_model_parameters, shared.gradio['interface_state'], None).then( | |
| load_model_wrapper, [shared.gradio[k] for k in ['model_menu', 'loader', 'autoload_model']], | |
| shared.gradio['model_status'], show_progress=False) | |
| load.click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| update_model_parameters, shared.gradio['interface_state'], None).then( | |
| partial(load_model_wrapper, autoload=True), [shared.gradio[k] for k in ['model_menu', 'loader']], | |
| shared.gradio['model_status'], show_progress=False) | |
| unload.click( | |
| unload_model, None, None).then( | |
| lambda: "Model unloaded", None, shared.gradio['model_status']) | |
| reload.click( | |
| unload_model, None, None).then( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| update_model_parameters, shared.gradio['interface_state'], None).then( | |
| partial(load_model_wrapper, autoload=True), [shared.gradio[k] for k in ['model_menu', 'loader']], | |
| shared.gradio['model_status'], show_progress=False) | |
| save_settings.click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| save_model_settings, [shared.gradio[k] for k in ['model_menu', 'interface_state']], | |
| shared.gradio['model_status'], show_progress=False) | |
| shared.gradio['lora_menu_apply'].click(load_lora_wrapper, shared.gradio['lora_menu'], shared.gradio['model_status'], | |
| show_progress=False) | |
| shared.gradio['download_model_button'].click(download_model_wrapper, shared.gradio['custom_model_menu'], | |
| shared.gradio['model_status'], show_progress=True) | |
| shared.gradio['autoload_model'].change(lambda x: gr.update(visible=not x), shared.gradio['autoload_model'], load) | |
| def create_chat_settings_menus(): | |
| if not shared.is_chat(): | |
| return | |
| with gr.Box(): | |
| gr.Markdown("Chat parameters") | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['max_new_tokens'] = gr.Slider(minimum=shared.settings['max_new_tokens_min'], | |
| maximum=shared.settings['max_new_tokens_max'], step=1, | |
| label='max_new_tokens', | |
| value=shared.settings['max_new_tokens']) | |
| shared.gradio['chat_generation_attempts'] = gr.Slider( | |
| minimum=shared.settings['chat_generation_attempts_min'], | |
| maximum=shared.settings['chat_generation_attempts_max'], | |
| value=shared.settings['chat_generation_attempts'], step=1, | |
| label='Generation attempts (for longer replies)', | |
| info='New generations will be called until either this number is reached or no new content is generated between two iterations.') | |
| with gr.Column(): | |
| shared.gradio['stop_at_newline'] = gr.Checkbox(value=shared.settings['stop_at_newline'], | |
| label='Stop generating at new line character') | |
| def create_settings_menus(default_preset): | |
| generate_params = presets.load_preset(default_preset) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['preset_menu'] = gr.Dropdown(choices=utils.get_available_presets(), | |
| value=default_preset if not shared.args.flexgen else 'Naive', | |
| label='Generation parameters preset', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['preset_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_presets()}, 'refresh-button') | |
| shared.gradio['save_preset'] = gr.Button('💾', elem_classes='refresh-button') | |
| shared.gradio['delete_preset'] = gr.Button('🗑️', elem_classes='refresh-button') | |
| with gr.Column(): | |
| shared.gradio['seed'] = gr.Number(value=shared.settings['seed'], label='Seed (-1 for random)') | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Box(): | |
| gr.Markdown('Main parameters') | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['temperature'] = gr.Slider(0.01, 1.99, value=generate_params['temperature'], | |
| step=0.01, label='temperature') | |
| shared.gradio['top_p'] = gr.Slider(0.0, 1.0, value=generate_params['top_p'], step=0.01, | |
| label='top_p') | |
| shared.gradio['top_k'] = gr.Slider(0, 200, value=generate_params['top_k'], step=1, | |
| label='top_k') | |
| shared.gradio['typical_p'] = gr.Slider(0.0, 1.0, value=generate_params['typical_p'], step=0.01, | |
| label='typical_p') | |
| shared.gradio['epsilon_cutoff'] = gr.Slider(0, 9, value=generate_params['epsilon_cutoff'], | |
| step=0.01, label='epsilon_cutoff') | |
| shared.gradio['eta_cutoff'] = gr.Slider(0, 20, value=generate_params['eta_cutoff'], step=0.01, | |
| label='eta_cutoff') | |
| with gr.Column(): | |
| shared.gradio['repetition_penalty'] = gr.Slider(1.0, 1.5, | |
| value=generate_params['repetition_penalty'], | |
| step=0.01, label='repetition_penalty') | |
| shared.gradio['repetition_penalty_range'] = gr.Slider(0, 4096, step=64, value=generate_params[ | |
| 'repetition_penalty_range'], label='repetition_penalty_range') | |
| shared.gradio['encoder_repetition_penalty'] = gr.Slider(0.8, 1.5, value=generate_params[ | |
| 'encoder_repetition_penalty'], step=0.01, label='encoder_repetition_penalty') | |
| shared.gradio['no_repeat_ngram_size'] = gr.Slider(0, 20, step=1, | |
| value=generate_params['no_repeat_ngram_size'], | |
| label='no_repeat_ngram_size') | |
| shared.gradio['min_length'] = gr.Slider(0, 2000, step=1, value=generate_params['min_length'], | |
| label='min_length') | |
| shared.gradio['tfs'] = gr.Slider(0.0, 1.0, value=generate_params['tfs'], step=0.01, label='tfs') | |
| shared.gradio['top_a'] = gr.Slider(0.0, 1.0, value=generate_params['top_a'], step=0.01, | |
| label='top_a') | |
| shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample') | |
| with gr.Accordion("Learn more", open=False): | |
| gr.Markdown(""" | |
| Not all parameters are used by all loaders. See [this page](https://github.com/oobabooga/text-generation-webui/blob/main/docs/Generation-parameters.md) for details. | |
| For a technical description of the parameters, the [transformers documentation](https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig) is a good reference. | |
| ### Temperature | |
| Primary factor to control randomness of outputs. 0 = deterministic (only the most likely token is used). Higher value = more randomness. | |
| ### top_p | |
| If not set to 1, select tokens with probabilities adding up to less than this number. Higher value = higher range of possible random results. | |
| ### top_k | |
| Similar to top_p, but select instead only the top_k most likely tokens. Higher value = higher range of possible random results. | |
| ### typical_p | |
| If not set to 1, select only tokens that are at least this much more likely to appear than random tokens, given the prior text. | |
| ### epsilon_cutoff | |
| In units of 1e-4; a reasonable value is 3. This sets a probability floor below which tokens are excluded from being sampled. Should be used with top_p, top_k, and eta_cutoff set to 0. | |
| ### eta_cutoff | |
| In units of 1e-4; a reasonable value is 3. Should be used with top_p, top_k, and epsilon_cutoff set to 0. | |
| ### repetition_penalty | |
| Exponential penalty factor for repeating prior tokens. 1 means no penalty, higher value = less repetition, lower value = more repetition. | |
| ### repetition_penalty_range | |
| The number of most recent tokens to consider for repetition penalty. 0 makes all tokens be used. | |
| ### encoder_repetition_penalty | |
| Also known as the "Hallucinations filter". Used to penalize tokens that are *not* in the prior text. Higher value = more likely to stay in context, lower value = more likely to diverge. | |
| ### no_repeat_ngram_size | |
| If not set to 0, specifies the length of token sets that are completely blocked from repeating at all. Higher values = blocks larger phrases, lower values = blocks words or letters from repeating. Only 0 or high values are a good idea in most cases. | |
| ### min_length | |
| Minimum generation length in tokens. | |
| ### penalty_alpha | |
| Contrastive Search is enabled by setting this to greater than zero and unchecking "do_sample". It should be used with a low value of top_k, for instance, top_k = 4. | |
| """, elem_classes="markdown") | |
| with gr.Column(): | |
| create_chat_settings_menus() | |
| with gr.Box(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown('Contrastive search') | |
| shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], | |
| label='penalty_alpha') | |
| gr.Markdown('Beam search') | |
| shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], | |
| label='num_beams') | |
| shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], | |
| label='length_penalty') | |
| shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], | |
| label='early_stopping') | |
| with gr.Column(): | |
| gr.Markdown('Mirostat (mode=1 is only for llama.cpp)') | |
| shared.gradio['mirostat_mode'] = gr.Slider(0, 2, step=1, value=generate_params['mirostat_mode'], | |
| label='mirostat_mode') | |
| shared.gradio['mirostat_tau'] = gr.Slider(0, 10, step=0.01, | |
| value=generate_params['mirostat_tau'], | |
| label='mirostat_tau') | |
| shared.gradio['mirostat_eta'] = gr.Slider(0, 1, step=0.01, | |
| value=generate_params['mirostat_eta'], | |
| label='mirostat_eta') | |
| with gr.Box(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['truncation_length'] = gr.Slider(value=shared.settings['truncation_length'], | |
| minimum=shared.settings['truncation_length_min'], | |
| maximum=shared.settings['truncation_length_max'], | |
| step=256, | |
| label='Truncate the prompt up to this length', | |
| info='The leftmost tokens are removed if the prompt exceeds this length. Most models require this to be at most 2048.') | |
| shared.gradio['custom_stopping_strings'] = gr.Textbox(lines=1, value=shared.settings[ | |
| "custom_stopping_strings"] or None, | |
| label='Custom stopping strings', | |
| info='In addition to the defaults. Written between "" and separated by commas. For instance: "\\nYour Assistant:", "\\nThe assistant:"') | |
| with gr.Column(): | |
| shared.gradio['ban_eos_token'] = gr.Checkbox(value=shared.settings['ban_eos_token'], | |
| label='Ban the eos_token', | |
| info='Forces the model to never end the generation prematurely.') | |
| shared.gradio['add_bos_token'] = gr.Checkbox(value=shared.settings['add_bos_token'], | |
| label='Add the bos_token to the beginning of prompts', | |
| info='Disabling this can make the replies more creative.') | |
| shared.gradio['skip_special_tokens'] = gr.Checkbox(value=shared.settings['skip_special_tokens'], | |
| label='Skip special tokens', | |
| info='Some specific models need this unset.') | |
| shared.gradio['stream'] = gr.Checkbox(value=not shared.args.no_stream, | |
| label='Activate text streaming') | |
| shared.gradio['preset_menu'].change(presets.load_preset_for_ui, | |
| [shared.gradio[k] for k in ['preset_menu', 'interface_state']], | |
| [shared.gradio[k] for k in | |
| ['interface_state', 'do_sample', 'temperature', 'top_p', 'typical_p', | |
| 'epsilon_cutoff', 'eta_cutoff', 'repetition_penalty', | |
| 'repetition_penalty_range', 'encoder_repetition_penalty', 'top_k', | |
| 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', | |
| 'length_penalty', 'early_stopping', 'mirostat_mode', 'mirostat_tau', | |
| 'mirostat_eta', 'tfs', 'top_a']]) | |
| def create_file_saving_menus(): | |
| # Text file saver | |
| with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['file_saver']: | |
| shared.gradio['save_filename'] = gr.Textbox(lines=1, label='File name') | |
| shared.gradio['save_root'] = gr.Textbox(lines=1, label='File folder', info='For reference. Unchangeable.', | |
| interactive=False) | |
| shared.gradio['save_contents'] = gr.Textbox(lines=10, label='File contents') | |
| with gr.Row(): | |
| shared.gradio['save_confirm'] = gr.Button('Save', elem_classes="small-button") | |
| shared.gradio['save_cancel'] = gr.Button('Cancel', elem_classes="small-button") | |
| # Text file deleter | |
| with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['file_deleter']: | |
| shared.gradio['delete_filename'] = gr.Textbox(lines=1, label='File name') | |
| shared.gradio['delete_root'] = gr.Textbox(lines=1, label='File folder', info='For reference. Unchangeable.', | |
| interactive=False) | |
| with gr.Row(): | |
| shared.gradio['delete_confirm'] = gr.Button('Delete', elem_classes="small-button", variant='stop') | |
| shared.gradio['delete_cancel'] = gr.Button('Cancel', elem_classes="small-button") | |
| # Character saver/deleter | |
| if shared.is_chat(): | |
| with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['character_saver']: | |
| shared.gradio['save_character_filename'] = gr.Textbox(lines=1, label='File name', | |
| info='The character will be saved to your characters/ folder with this base filename.') | |
| with gr.Row(): | |
| shared.gradio['save_character_confirm'] = gr.Button('Save', elem_classes="small-button") | |
| shared.gradio['save_character_cancel'] = gr.Button('Cancel', elem_classes="small-button") | |
| with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['character_deleter']: | |
| gr.Markdown('Confirm the character deletion?') | |
| with gr.Row(): | |
| shared.gradio['delete_character_confirm'] = gr.Button('Delete', elem_classes="small-button", | |
| variant='stop') | |
| shared.gradio['delete_character_cancel'] = gr.Button('Cancel', elem_classes="small-button") | |
| def create_file_saving_event_handlers(): | |
| shared.gradio['save_confirm'].click( | |
| lambda x, y, z: utils.save_file(x + y, z), | |
| [shared.gradio[k] for k in ['save_root', 'save_filename', 'save_contents']], None).then( | |
| lambda: gr.update(visible=False), None, shared.gradio['file_saver']) | |
| shared.gradio['delete_confirm'].click( | |
| lambda x, y: utils.delete_file(x + y), [shared.gradio[k] for k in ['delete_root', 'delete_filename']], | |
| None).then( | |
| lambda: gr.update(visible=False), None, shared.gradio['file_deleter']) | |
| shared.gradio['delete_cancel'].click(lambda: gr.update(visible=False), None, shared.gradio['file_deleter']) | |
| shared.gradio['save_cancel'].click(lambda: gr.update(visible=False), None, shared.gradio['file_saver']) | |
| if shared.is_chat(): | |
| shared.gradio['save_character_confirm'].click( | |
| chat.save_character, [shared.gradio[k] for k in | |
| ['name2', 'greeting', 'context', 'character_picture', 'save_character_filename']], | |
| None).then( | |
| lambda: gr.update(visible=False), None, shared.gradio['character_saver']) | |
| shared.gradio['delete_character_confirm'].click( | |
| chat.delete_character, shared.gradio['character_menu'], None).then( | |
| lambda: gr.update(visible=False), None, shared.gradio['character_deleter']).then( | |
| lambda: gr.update(choices=utils.get_available_characters()), outputs=shared.gradio['character_menu']) | |
| shared.gradio['save_character_cancel'].click(lambda: gr.update(visible=False), None, | |
| shared.gradio['character_saver']) | |
| shared.gradio['delete_character_cancel'].click(lambda: gr.update(visible=False), None, | |
| shared.gradio['character_deleter']) | |
| shared.gradio['save_preset'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| presets.generate_preset_yaml, shared.gradio['interface_state'], shared.gradio['save_contents']).then( | |
| lambda: 'presets/', None, shared.gradio['save_root']).then( | |
| lambda: 'My Preset.yaml', None, shared.gradio['save_filename']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_saver']) | |
| shared.gradio['delete_preset'].click( | |
| lambda x: f'{x}.yaml', shared.gradio['preset_menu'], shared.gradio['delete_filename']).then( | |
| lambda: 'presets/', None, shared.gradio['delete_root']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_deleter']) | |
| def set_interface_arguments(interface_mode, extensions, bool_active): | |
| modes = ["default", "notebook", "chat", "cai_chat"] | |
| cmd_list = vars(shared.args) | |
| bool_list = [k for k in cmd_list if type(cmd_list[k]) is bool and k not in modes] | |
| shared.args.extensions = extensions | |
| for k in modes[1:]: | |
| setattr(shared.args, k, False) | |
| if interface_mode != "default": | |
| setattr(shared.args, interface_mode, True) | |
| for k in bool_list: | |
| setattr(shared.args, k, False) | |
| for k in bool_active: | |
| setattr(shared.args, k, True) | |
| shared.need_restart = True | |
| def create_interface(): | |
| # Defining some variables | |
| gen_events = [] | |
| default_preset = shared.settings['preset'] | |
| default_text = load_prompt(shared.settings['prompt']) | |
| title = 'Text generation web UI' | |
| # Authentication variables | |
| auth = None | |
| gradio_auth_creds = [] | |
| if shared.args.gradio_auth: | |
| gradio_auth_creds += [x.strip() for x in shared.args.gradio_auth.strip('"').replace('\n', '').split(',') if | |
| x.strip()] | |
| if shared.args.gradio_auth_path is not None: | |
| with open(shared.args.gradio_auth_path, 'r', encoding="utf8") as file: | |
| for line in file.readlines(): | |
| gradio_auth_creds += [x.strip() for x in line.split(',') if x.strip()] | |
| if gradio_auth_creds: | |
| auth = [tuple(cred.split(':')) for cred in gradio_auth_creds] | |
| # Importing the extension files and executing their setup() functions | |
| if shared.args.extensions is not None and len(shared.args.extensions) > 0: | |
| extensions_module.load_extensions() | |
| # css/js strings | |
| css = ui.css if not shared.is_chat() else ui.css + ui.chat_css | |
| js = ui.main_js if not shared.is_chat() else ui.main_js + ui.chat_js | |
| css += apply_extensions('css') | |
| js += apply_extensions('js') | |
| with gr.Blocks(css=css, analytics_enabled=False, title=title, theme=ui.theme) as shared.gradio['interface']: | |
| if Path("notification.mp3").exists(): | |
| shared.gradio['audio_notification'] = gr.Audio(interactive=False, value="notification.mp3", | |
| elem_id="audio_notification", visible=False) | |
| audio_notification_js = "document.querySelector('#audio_notification audio')?.play();" | |
| else: | |
| audio_notification_js = "" | |
| # Floating menus for saving/deleting files | |
| create_file_saving_menus() | |
| # Create chat mode interface | |
| if shared.is_chat(): | |
| shared.input_elements = ui.list_interface_input_elements(chat=True) | |
| shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements}) | |
| shared.gradio['Chat input'] = gr.State() | |
| shared.gradio['dummy'] = gr.State() | |
| with gr.Tab('Text generation', elem_id='main'): | |
| shared.gradio['display'] = gr.HTML( | |
| value=chat_html_wrapper(shared.history['visible'], shared.settings['name1'], | |
| shared.settings['name2'], 'chat', 'cai-chat')) | |
| shared.gradio['textbox'] = gr.Textbox(label='Input') | |
| with gr.Row(): | |
| shared.gradio['Stop'] = gr.Button('Stop', elem_id='stop') | |
| shared.gradio['Generate'] = gr.Button('Generate', elem_id='Generate', variant='primary') | |
| shared.gradio['Continue'] = gr.Button('Continue') | |
| with gr.Row(): | |
| shared.gradio['Impersonate'] = gr.Button('Impersonate') | |
| shared.gradio['Regenerate'] = gr.Button('Regenerate') | |
| shared.gradio['Remove last'] = gr.Button('Remove last') | |
| with gr.Row(): | |
| shared.gradio['Copy last reply'] = gr.Button('Copy last reply') | |
| shared.gradio['Replace last reply'] = gr.Button('Replace last reply') | |
| shared.gradio['Send dummy message'] = gr.Button('Send dummy message') | |
| shared.gradio['Send dummy reply'] = gr.Button('Send dummy reply') | |
| with gr.Row(): | |
| shared.gradio['Clear history'] = gr.Button('Clear history') | |
| shared.gradio['Clear history-confirm'] = gr.Button('Confirm', variant='stop', visible=False) | |
| shared.gradio['Clear history-cancel'] = gr.Button('Cancel', visible=False) | |
| with gr.Row(): | |
| shared.gradio['start_with'] = gr.Textbox(label='Start reply with', placeholder='Sure thing!', | |
| value=shared.settings['start_with']) | |
| with gr.Row(): | |
| shared.gradio['mode'] = gr.Radio(choices=['chat', 'chat-instruct', 'instruct'], | |
| value=shared.settings['mode'] if shared.settings['mode'] in [ | |
| 'chat', 'instruct', 'chat-instruct'] else 'chat', label='Mode', | |
| info='Defines how the chat prompt is generated. In instruct and chat-instruct modes, the instruction template selected under "Chat settings" must match the current model.') | |
| shared.gradio['chat_style'] = gr.Dropdown(choices=utils.get_available_chat_styles(), | |
| label='Chat style', value=shared.settings['chat_style'], | |
| visible=shared.settings['mode'] != 'instruct') | |
| with gr.Tab('Chat settings', elem_id='chat-settings'): | |
| with gr.Tab("Character"): | |
| with gr.Row(): | |
| with gr.Column(scale=8): | |
| with gr.Row(): | |
| shared.gradio['character_menu'] = gr.Dropdown(choices=utils.get_available_characters(), | |
| label='Character', | |
| elem_id='character-menu', | |
| info='Used in chat and chat-instruct modes.', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['character_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_characters()}, | |
| 'refresh-button') | |
| shared.gradio['save_character'] = gr.Button('💾', elem_classes='refresh-button') | |
| shared.gradio['delete_character'] = gr.Button('🗑️', elem_classes='refresh-button') | |
| shared.gradio['name1'] = gr.Textbox(value=shared.settings['name1'], lines=1, | |
| label='Your name') | |
| shared.gradio['name2'] = gr.Textbox(value=shared.settings['name2'], lines=1, | |
| label='Character\'s name') | |
| shared.gradio['context'] = gr.Textbox(value=shared.settings['context'], lines=4, | |
| label='Context') | |
| shared.gradio['greeting'] = gr.Textbox(value=shared.settings['greeting'], lines=4, | |
| label='Greeting') | |
| with gr.Column(scale=1): | |
| shared.gradio['character_picture'] = gr.Image(label='Character picture', type='pil') | |
| shared.gradio['your_picture'] = gr.Image(label='Your picture', type='pil', | |
| value=Image.open(Path('cache/pfp_me.png')) if Path( | |
| 'cache/pfp_me.png').exists() else None) | |
| with gr.Tab("Instruction template"): | |
| with gr.Row(): | |
| with gr.Row(): | |
| shared.gradio['instruction_template'] = gr.Dropdown( | |
| choices=utils.get_available_instruction_templates(), label='Instruction template', | |
| value='None', | |
| info='Change this according to the model/LoRA that you are using. Used in instruct and chat-instruct modes.', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['instruction_template'], lambda: None, | |
| lambda: {'choices': utils.get_available_instruction_templates()}, | |
| 'refresh-button') | |
| shared.gradio['save_template'] = gr.Button('💾', elem_classes='refresh-button') | |
| shared.gradio['delete_template'] = gr.Button('🗑️ ', elem_classes='refresh-button') | |
| shared.gradio['name1_instruct'] = gr.Textbox(value='', lines=2, label='User string') | |
| shared.gradio['name2_instruct'] = gr.Textbox(value='', lines=1, label='Bot string') | |
| shared.gradio['context_instruct'] = gr.Textbox(value='', lines=4, label='Context') | |
| shared.gradio['turn_template'] = gr.Textbox(value=shared.settings['turn_template'], lines=1, | |
| label='Turn template', | |
| info='Used to precisely define the placement of spaces and new line characters in instruction prompts.') | |
| with gr.Row(): | |
| shared.gradio['chat-instruct_command'] = gr.Textbox( | |
| value=shared.settings['chat-instruct_command'], lines=4, | |
| label='Command for chat-instruct mode', | |
| info='<|character|> gets replaced by the bot name, and <|prompt|> gets replaced by the regular chat prompt.') | |
| with gr.Tab('Chat history'): | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['download'] = gr.File(label="Download") | |
| shared.gradio['download_button'] = gr.Button(value='Refresh') | |
| with gr.Column(): | |
| shared.gradio['upload_chat_history'] = gr.File(type='binary', file_types=['.json', '.txt'], | |
| label="Upload") | |
| with gr.Tab('Upload character'): | |
| with gr.Tab('JSON'): | |
| with gr.Row(): | |
| shared.gradio['upload_json'] = gr.File(type='binary', file_types=['.json'], | |
| label='JSON File') | |
| shared.gradio['upload_img_bot'] = gr.Image(type='pil', label='Profile Picture (optional)') | |
| shared.gradio['Submit character'] = gr.Button(value='Submit', interactive=False) | |
| with gr.Tab('TavernAI'): | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['upload_img_tavern'] = gr.Image(type='pil', label='TavernAI PNG File', | |
| elem_id="upload_img_tavern") | |
| shared.gradio['tavern_json'] = gr.State() | |
| with gr.Column(): | |
| shared.gradio['tavern_name'] = gr.Textbox(value='', lines=1, label='Name', | |
| interactive=False) | |
| shared.gradio['tavern_desc'] = gr.Textbox(value='', lines=4, max_lines=4, | |
| label='Description', interactive=False) | |
| shared.gradio['Submit tavern character'] = gr.Button(value='Submit', interactive=False) | |
| with gr.Tab("Parameters", elem_id="parameters"): | |
| create_settings_menus(default_preset) | |
| # Create notebook mode interface | |
| elif shared.args.notebook: | |
| shared.input_elements = ui.list_interface_input_elements(chat=False) | |
| shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements}) | |
| shared.gradio['last_input'] = gr.State('') | |
| with gr.Tab("Text generation", elem_id="main"): | |
| with gr.Row(): | |
| with gr.Column(scale=4): | |
| with gr.Tab('Raw'): | |
| shared.gradio['textbox'] = gr.Textbox(value=default_text, elem_classes="textbox", lines=27) | |
| with gr.Tab('Markdown'): | |
| shared.gradio['markdown_render'] = gr.Button('Render') | |
| shared.gradio['markdown'] = gr.Markdown() | |
| with gr.Tab('HTML'): | |
| shared.gradio['html'] = gr.HTML() | |
| with gr.Row(): | |
| shared.gradio['Generate'] = gr.Button('Generate', variant='primary', | |
| elem_classes="small-button") | |
| shared.gradio['Stop'] = gr.Button('Stop', elem_classes="small-button") | |
| shared.gradio['Undo'] = gr.Button('Undo', elem_classes="small-button") | |
| shared.gradio['Regenerate'] = gr.Button('Regenerate', elem_classes="small-button") | |
| with gr.Column(scale=1): | |
| gr.HTML('<div style="padding-bottom: 13px"></div>') | |
| shared.gradio['max_new_tokens'] = gr.Slider(minimum=shared.settings['max_new_tokens_min'], | |
| maximum=shared.settings['max_new_tokens_max'], | |
| step=1, label='max_new_tokens', | |
| value=shared.settings['max_new_tokens']) | |
| with gr.Row(): | |
| shared.gradio['prompt_menu'] = gr.Dropdown(choices=utils.get_available_prompts(), | |
| value='None', label='Prompt', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['prompt_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_prompts()}, | |
| ['refresh-button', 'refresh-button-small']) | |
| shared.gradio['save_prompt'] = gr.Button('💾', elem_classes=['refresh-button', | |
| 'refresh-button-small']) | |
| shared.gradio['delete_prompt'] = gr.Button('🗑️', elem_classes=['refresh-button', | |
| 'refresh-button-small']) | |
| shared.gradio['count_tokens'] = gr.Button('Count tokens') | |
| shared.gradio['status'] = gr.Markdown('') | |
| with gr.Tab("Parameters", elem_id="parameters"): | |
| create_settings_menus(default_preset) | |
| # Create default mode interface | |
| else: | |
| shared.input_elements = ui.list_interface_input_elements(chat=False) | |
| shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements}) | |
| shared.gradio['last_input'] = gr.State('') | |
| with gr.Tab("Text generation", elem_id="main"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['textbox'] = gr.Textbox(value=default_text, elem_classes="textbox_default", | |
| lines=27, label='Input') | |
| shared.gradio['max_new_tokens'] = gr.Slider(minimum=shared.settings['max_new_tokens_min'], | |
| maximum=shared.settings['max_new_tokens_max'], | |
| step=1, label='max_new_tokens', | |
| value=shared.settings['max_new_tokens']) | |
| with gr.Row(): | |
| shared.gradio['Generate'] = gr.Button('Generate', variant='primary') | |
| shared.gradio['Stop'] = gr.Button('Stop') | |
| shared.gradio['Continue'] = gr.Button('Continue') | |
| shared.gradio['count_tokens'] = gr.Button('Count tokens') | |
| with gr.Row(): | |
| shared.gradio['prompt_menu'] = gr.Dropdown(choices=utils.get_available_prompts(), | |
| value='None', label='Prompt', | |
| elem_classes='slim-dropdown') | |
| ui.create_refresh_button(shared.gradio['prompt_menu'], lambda: None, | |
| lambda: {'choices': utils.get_available_prompts()}, | |
| 'refresh-button') | |
| shared.gradio['save_prompt'] = gr.Button('💾', elem_classes='refresh-button') | |
| shared.gradio['delete_prompt'] = gr.Button('🗑️', elem_classes='refresh-button') | |
| shared.gradio['status'] = gr.Markdown('') | |
| with gr.Column(): | |
| with gr.Tab('Raw'): | |
| shared.gradio['output_textbox'] = gr.Textbox(elem_classes="textbox_default_output", | |
| lines=27, label='Output') | |
| with gr.Tab('Markdown'): | |
| shared.gradio['markdown_render'] = gr.Button('Render') | |
| shared.gradio['markdown'] = gr.Markdown() | |
| with gr.Tab('HTML'): | |
| shared.gradio['html'] = gr.HTML() | |
| with gr.Tab("Parameters", elem_id="parameters"): | |
| create_settings_menus(default_preset) | |
| # Model tab | |
| with gr.Tab("Model", elem_id="model-tab"): | |
| create_model_menus() | |
| # Training tab | |
| with gr.Tab("Training", elem_id="training-tab"): | |
| training.create_train_interface() | |
| # Interface mode tab | |
| with gr.Tab("Interface mode", elem_id="interface-mode"): | |
| modes = ["default", "notebook", "chat"] | |
| current_mode = "default" | |
| for mode in modes[1:]: | |
| if getattr(shared.args, mode): | |
| current_mode = mode | |
| break | |
| cmd_list = vars(shared.args) | |
| bool_list = sorted( | |
| [k for k in cmd_list if type(cmd_list[k]) is bool and k not in modes + ui.list_model_elements()]) | |
| bool_active = [k for k in bool_list if vars(shared.args)[k]] | |
| with gr.Row(): | |
| shared.gradio['interface_modes_menu'] = gr.Dropdown(choices=modes, value=current_mode, label="Mode") | |
| shared.gradio['reset_interface'] = gr.Button("Apply and restart the interface", | |
| elem_classes="small-button") | |
| shared.gradio['toggle_dark_mode'] = gr.Button('Toggle dark/light mode', elem_classes="small-button") | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['extensions_menu'] = gr.CheckboxGroup(choices=utils.get_available_extensions(), | |
| value=shared.args.extensions, | |
| label="Available extensions", | |
| info='Note that some of these extensions may require manually installing Python requirements through the command: pip install -r extensions/extension_name/requirements.txt', | |
| elem_classes='checkboxgroup-table') | |
| with gr.Column(): | |
| shared.gradio['bool_menu'] = gr.CheckboxGroup(choices=bool_list, value=bool_active, | |
| label="Boolean command-line flags", | |
| elem_classes='checkboxgroup-table') | |
| with gr.Row(): | |
| extension_name = gr.Textbox(lines=1, label='Install or update an extension', | |
| info='Enter the GitHub URL below. For a list of extensions, see: https://github.com/oobabooga/text-generation-webui-extensions ⚠️ WARNING ⚠️ : extensions can execute arbitrary code. Make sure to inspect their source code before activating them.') | |
| extension_install = gr.Button('Install or update', elem_classes="small-button") | |
| extension_status = gr.Markdown() | |
| extension_install.click( | |
| clone_or_pull_repository, extension_name, extension_status, show_progress=False).then( | |
| lambda: gr.update(choices=utils.get_available_extensions(), value=shared.args.extensions), | |
| outputs=shared.gradio['extensions_menu']) | |
| # Reset interface event | |
| shared.gradio['reset_interface'].click( | |
| set_interface_arguments, | |
| [shared.gradio[k] for k in ['interface_modes_menu', 'extensions_menu', 'bool_menu']], None).then( | |
| lambda: None, None, None, | |
| _js='() => {document.body.innerHTML=\'<h1 style="font-family:monospace;margin-top:20%;color:lightgray;text-align:center;">Reloading...</h1>\'; setTimeout(function(){location.reload()},2500); return []}') | |
| shared.gradio['toggle_dark_mode'].click(lambda: None, None, None, | |
| _js='() => {document.getElementsByTagName("body")[0].classList.toggle("dark")}') | |
| # chat mode event handlers | |
| if shared.is_chat(): | |
| shared.input_params = [shared.gradio[k] for k in ['Chat input', 'start_with', 'interface_state']] | |
| clear_arr = [shared.gradio[k] for k in ['Clear history-confirm', 'Clear history', 'Clear history-cancel']] | |
| shared.reload_inputs = [shared.gradio[k] for k in ['name1', 'name2', 'mode', 'chat_style']] | |
| gen_events.append(shared.gradio['Generate'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| lambda x: (x, ''), shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], | |
| show_progress=False).then( | |
| chat.generate_chat_reply_wrapper, shared.input_params, shared.gradio['display'], | |
| show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| ) | |
| gen_events.append(shared.gradio['textbox'].submit( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| lambda x: (x, ''), shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], | |
| show_progress=False).then( | |
| chat.generate_chat_reply_wrapper, shared.input_params, shared.gradio['display'], | |
| show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| ) | |
| gen_events.append(shared.gradio['Regenerate'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| partial(chat.generate_chat_reply_wrapper, regenerate=True), shared.input_params, | |
| shared.gradio['display'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| ) | |
| gen_events.append(shared.gradio['Continue'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| partial(chat.generate_chat_reply_wrapper, _continue=True), shared.input_params, | |
| shared.gradio['display'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| ) | |
| gen_events.append(shared.gradio['Impersonate'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| lambda x: x, shared.gradio['textbox'], shared.gradio['Chat input'], show_progress=False).then( | |
| chat.impersonate_wrapper, shared.input_params, shared.gradio['textbox'], show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| ) | |
| shared.gradio['Replace last reply'].click( | |
| chat.replace_last_reply, shared.gradio['textbox'], None).then( | |
| lambda: '', None, shared.gradio['textbox'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Send dummy message'].click( | |
| chat.send_dummy_message, shared.gradio['textbox'], None).then( | |
| lambda: '', None, shared.gradio['textbox'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Send dummy reply'].click( | |
| chat.send_dummy_reply, shared.gradio['textbox'], None).then( | |
| lambda: '', None, shared.gradio['textbox'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Clear history-confirm'].click( | |
| lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, | |
| clear_arr).then( | |
| chat.clear_chat_log, [shared.gradio[k] for k in ['greeting', 'mode']], None).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Stop'].click( | |
| stop_everything_event, None, None, queue=False, | |
| cancels=gen_events if shared.args.no_stream else None).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['mode'].change( | |
| lambda x: gr.update(visible=x != 'instruct'), shared.gradio['mode'], shared.gradio['chat_style'], | |
| show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['chat_style'].change(chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['instruction_template'].change( | |
| partial(chat.load_character, instruct=True), | |
| [shared.gradio[k] for k in ['instruction_template', 'name1_instruct', 'name2_instruct']], | |
| [shared.gradio[k] for k in | |
| ['name1_instruct', 'name2_instruct', 'dummy', 'dummy', 'context_instruct', 'turn_template']]) | |
| shared.gradio['upload_chat_history'].upload( | |
| chat.load_history, [shared.gradio[k] for k in ['upload_chat_history', 'name1', 'name2']], None).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Copy last reply'].click(chat.send_last_reply_to_input, None, shared.gradio['textbox'], | |
| show_progress=False) | |
| shared.gradio['Clear history'].click( | |
| lambda: [gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)], None, clear_arr) | |
| shared.gradio['Clear history-cancel'].click( | |
| lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr) | |
| shared.gradio['Remove last'].click( | |
| chat.remove_last_message, None, shared.gradio['textbox'], show_progress=False).then( | |
| chat.save_history, shared.gradio['mode'], None, show_progress=False).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| # Save/delete a character | |
| shared.gradio['save_character'].click( | |
| lambda x: x, shared.gradio['name2'], shared.gradio['save_character_filename']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['character_saver']) | |
| shared.gradio['delete_character'].click(lambda: gr.update(visible=True), None, | |
| shared.gradio['character_deleter']) | |
| shared.gradio['save_template'].click( | |
| lambda: 'My Template.yaml', None, shared.gradio['save_filename']).then( | |
| lambda: 'characters/instruction-following/', None, shared.gradio['save_root']).then( | |
| chat.generate_instruction_template_yaml, | |
| [shared.gradio[k] for k in ['name1_instruct', 'name2_instruct', 'context_instruct', 'turn_template']], | |
| shared.gradio['save_contents']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_saver']) | |
| shared.gradio['delete_template'].click( | |
| lambda x: f'{x}.yaml', shared.gradio['instruction_template'], shared.gradio['delete_filename']).then( | |
| lambda: 'characters/instruction-following/', None, shared.gradio['delete_root']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_deleter']) | |
| shared.gradio['download_button'].click(lambda x: chat.save_history(x, timestamp=True, user_request=True), | |
| shared.gradio['mode'], shared.gradio['download']) | |
| shared.gradio['Submit character'].click(chat.upload_character, | |
| [shared.gradio['upload_json'], shared.gradio['upload_img_bot']], | |
| [shared.gradio['character_menu']]) | |
| shared.gradio['upload_json'].upload(lambda: gr.update(interactive=True), None, | |
| [shared.gradio['Submit character']]) | |
| shared.gradio['upload_json'].clear(lambda: gr.update(interactive=False), None, | |
| [shared.gradio['Submit character']]) | |
| shared.gradio['character_menu'].change( | |
| partial(chat.load_character, instruct=False), | |
| [shared.gradio[k] for k in ['character_menu', 'name1', 'name2']], [shared.gradio[k] for k in | |
| ['name1', 'name2', | |
| 'character_picture', 'greeting', | |
| 'context', 'dummy']]).then( | |
| chat.redraw_html, shared.reload_inputs, shared.gradio['display']) | |
| shared.gradio['Submit tavern character'].click(chat.upload_tavern_character, | |
| [shared.gradio['upload_img_tavern'], | |
| shared.gradio['tavern_json']], | |
| [shared.gradio['character_menu']]) | |
| shared.gradio['upload_img_tavern'].upload(chat.check_tavern_character, shared.gradio['upload_img_tavern'], | |
| [shared.gradio[k] for k in | |
| ['tavern_name', 'tavern_desc', 'tavern_json', | |
| 'Submit tavern character']], show_progress=False) | |
| shared.gradio['upload_img_tavern'].clear(lambda: (None, None, None, gr.update(interactive=False)), None, | |
| [shared.gradio[k] for k in | |
| ['tavern_name', 'tavern_desc', 'tavern_json', | |
| 'Submit tavern character']], show_progress=False) | |
| shared.gradio['your_picture'].change( | |
| chat.upload_your_profile_picture, shared.gradio['your_picture'], None).then( | |
| partial(chat.redraw_html, reset_cache=True), shared.reload_inputs, shared.gradio['display']) | |
| # notebook/default modes event handlers | |
| else: | |
| shared.input_params = [shared.gradio[k] for k in ['textbox', 'interface_state']] | |
| if shared.args.notebook: | |
| output_params = [shared.gradio[k] for k in ['textbox', 'html']] | |
| else: | |
| output_params = [shared.gradio[k] for k in ['output_textbox', 'html']] | |
| gen_events.append(shared.gradio['Generate'].click( | |
| lambda x: x, shared.gradio['textbox'], shared.gradio['last_input']).then( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| generate_reply_wrapper, shared.input_params, output_params, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| # lambda: None, None, None, _js="() => {element = document.getElementsByTagName('textarea')[0]; element.scrollTop = element.scrollHeight}") | |
| ) | |
| gen_events.append(shared.gradio['textbox'].submit( | |
| lambda x: x, shared.gradio['textbox'], shared.gradio['last_input']).then( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| generate_reply_wrapper, shared.input_params, output_params, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| # lambda: None, None, None, _js="() => {element = document.getElementsByTagName('textarea')[0]; element.scrollTop = element.scrollHeight}") | |
| ) | |
| if shared.args.notebook: | |
| shared.gradio['Undo'].click(lambda x: x, shared.gradio['last_input'], shared.gradio['textbox'], | |
| show_progress=False) | |
| shared.gradio['markdown_render'].click(lambda x: x, shared.gradio['textbox'], shared.gradio['markdown'], | |
| queue=False) | |
| gen_events.append(shared.gradio['Regenerate'].click( | |
| lambda x: x, shared.gradio['last_input'], shared.gradio['textbox'], show_progress=False).then( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| generate_reply_wrapper, shared.input_params, output_params, show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| # lambda: None, None, None, _js="() => {element = document.getElementsByTagName('textarea')[0]; element.scrollTop = element.scrollHeight}") | |
| ) | |
| else: | |
| shared.gradio['markdown_render'].click(lambda x: x, shared.gradio['output_textbox'], | |
| shared.gradio['markdown'], queue=False) | |
| gen_events.append(shared.gradio['Continue'].click( | |
| ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], | |
| shared.gradio['interface_state']).then( | |
| generate_reply_wrapper, [shared.gradio['output_textbox']] + shared.input_params[1:], output_params, | |
| show_progress=False).then( | |
| lambda: None, None, None, _js=f"() => {{{audio_notification_js}}}") | |
| # lambda: None, None, None, _js="() => {element = document.getElementsByTagName('textarea')[1]; element.scrollTop = element.scrollHeight}") | |
| ) | |
| shared.gradio['Stop'].click(stop_everything_event, None, None, queue=False, | |
| cancels=gen_events if shared.args.no_stream else None) | |
| shared.gradio['prompt_menu'].change(load_prompt, shared.gradio['prompt_menu'], shared.gradio['textbox'], | |
| show_progress=False) | |
| shared.gradio['save_prompt'].click( | |
| lambda x: x, shared.gradio['textbox'], shared.gradio['save_contents']).then( | |
| lambda: 'prompts/', None, shared.gradio['save_root']).then( | |
| lambda: utils.current_time() + '.txt', None, shared.gradio['save_filename']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_saver']) | |
| shared.gradio['delete_prompt'].click( | |
| lambda: 'prompts/', None, shared.gradio['delete_root']).then( | |
| lambda x: x + '.txt', shared.gradio['prompt_menu'], shared.gradio['delete_filename']).then( | |
| lambda: gr.update(visible=True), None, shared.gradio['file_deleter']) | |
| shared.gradio['count_tokens'].click(count_tokens, shared.gradio['textbox'], shared.gradio['status'], | |
| show_progress=False) | |
| create_file_saving_event_handlers() | |
| shared.gradio['interface'].load(lambda: None, None, None, _js=f"() => {{{js}}}") | |
| if shared.settings['dark_theme']: | |
| shared.gradio['interface'].load(lambda: None, None, None, | |
| _js="() => document.getElementsByTagName('body')[0].classList.add('dark')") | |
| shared.gradio['interface'].load(partial(ui.apply_interface_values, {}, use_persistent=True), None, | |
| [shared.gradio[k] for k in | |
| ui.list_interface_input_elements(chat=shared.is_chat())], show_progress=False) | |
| # Extensions tabs | |
| extensions_module.create_extensions_tabs() | |
| # Extensions block | |
| extensions_module.create_extensions_block() | |
| # Launch the interface | |
| shared.gradio['interface'].queue() | |
| if shared.args.listen: | |
| shared.gradio['interface'].launch(prevent_thread_lock=True, share=shared.args.share, | |
| server_name=shared.args.listen_host or '0.0.0.0', | |
| server_port=shared.args.listen_port, inbrowser=shared.args.auto_launch, | |
| auth=auth) | |
| else: | |
| shared.gradio['interface'].launch(prevent_thread_lock=True, share=shared.args.share, | |
| server_port=shared.args.listen_port, inbrowser=shared.args.auto_launch, | |
| auth=auth) | |
| if __name__ == "__main__": | |
| # Loading custom settings | |
| settings_file = None | |
| if shared.args.settings is not None and Path(shared.args.settings).exists(): | |
| settings_file = Path(shared.args.settings) | |
| elif Path('settings.yaml').exists(): | |
| settings_file = Path('settings.yaml') | |
| elif Path('settings.json').exists(): | |
| settings_file = Path('settings.json') | |
| if settings_file is not None: | |
| logger.info(f"Loading settings from {settings_file}...") | |
| file_contents = open(settings_file, 'r', encoding='utf-8').read() | |
| new_settings = json.loads(file_contents) if settings_file.suffix == "json" else yaml.safe_load(file_contents) | |
| for item in new_settings: | |
| shared.settings[item] = new_settings[item] | |
| # Set default model settings based on settings file | |
| shared.model_config['.*'] = { | |
| 'wbits': 'None', | |
| 'model_type': 'None', | |
| 'groupsize': 'None', | |
| 'pre_layer': 0, | |
| 'mode': shared.settings['mode'], | |
| 'skip_special_tokens': shared.settings['skip_special_tokens'], | |
| 'custom_stopping_strings': shared.settings['custom_stopping_strings'], | |
| 'truncation_length': shared.settings['truncation_length'], | |
| } | |
| shared.model_config.move_to_end('.*', last=False) # Move to the beginning | |
| # Default extensions | |
| extensions_module.available_extensions = utils.get_available_extensions() | |
| if shared.is_chat(): | |
| for extension in shared.settings['chat_default_extensions']: | |
| shared.args.extensions = shared.args.extensions or [] | |
| if extension not in shared.args.extensions: | |
| shared.args.extensions.append(extension) | |
| else: | |
| for extension in shared.settings['default_extensions']: | |
| shared.args.extensions = shared.args.extensions or [] | |
| if extension not in shared.args.extensions: | |
| shared.args.extensions.append(extension) | |
| available_models = utils.get_available_models() | |
| # Model defined through --model | |
| if shared.args.model is not None: | |
| shared.model_name = shared.args.model | |
| # Only one model is available | |
| elif len(available_models) == 1: | |
| shared.model_name = available_models[0] | |
| # Select the model from a command-line menu | |
| elif shared.args.model_menu: | |
| if len(available_models) == 0: | |
| logger.error('No models are available! Please download at least one.') | |
| sys.exit(0) | |
| else: | |
| print('The following models are available:\n') | |
| for i, model in enumerate(available_models): | |
| print(f'{i + 1}. {model}') | |
| print(f'\nWhich one do you want to load? 1-{len(available_models)}\n') | |
| i = int(input()) - 1 | |
| print() | |
| shared.model_name = available_models[i] | |
| # If any model has been selected, load it | |
| if shared.model_name != 'None': | |
| model_settings = get_model_settings_from_yamls(shared.model_name) | |
| shared.settings.update(model_settings) # hijacking the interface defaults | |
| update_model_parameters(model_settings, initial=True) # hijacking the command-line arguments | |
| # Load the model | |
| shared.model, shared.tokenizer = load_model(shared.model_name) | |
| if shared.args.lora: | |
| add_lora_to_model(shared.args.lora) | |
| # Force a character to be loaded | |
| if shared.is_chat(): | |
| shared.persistent_interface_state.update({ | |
| 'mode': shared.settings['mode'], | |
| 'character_menu': shared.args.character or shared.settings['character'], | |
| 'instruction_template': shared.settings['instruction_template'] | |
| }) | |
| shared.persistent_interface_state.update({ | |
| 'loader': shared.args.loader or 'Transformers', | |
| }) | |
| shared.generation_lock = Lock() | |
| # Launch the web UI | |
| create_interface() | |
| while True: | |
| time.sleep(0.5) | |
| if shared.need_restart: | |
| shared.need_restart = False | |
| time.sleep(0.5) | |
| shared.gradio['interface'].close() | |
| time.sleep(0.5) | |
| create_interface() | |