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| ######################################################################################### | |
| # Title: Gradio Interface to LLM-chatbot with on premises | |
| # Author: Andreas Fischer | |
| # Date: October 15th, 2023 | |
| # Last update: January 21st, 2024 | |
| ########################################################################################## | |
| #https://github.com/abetlen/llama-cpp-python/issues/306 | |
| #sudo apt install libclblast-dev | |
| #CMAKE_ARGS="-DLLAMA_CLBLAST=on" FORCE_CMAKE=1 pip install llama-cpp-python --force-reinstall --upgrade --no-cache-dir -v | |
| # Get model | |
| #----------- | |
| import os | |
| import requests | |
| ##modelPath="/home/af/gguf/models/phi-2.Q4_0.gguf" | |
| #modelPath="/home/af/gguf/models/openchat-3.5-0106.Q4_0.gguf" | |
| modelPath="/home/af/gguf/models/SauerkrautLM-7b-HerO-q8_0.gguf" | |
| #modelPath="/home/af/gguf/models/sauerkrautlm-una-solar-instruct.Q4_0.gguf" | |
| #modelPath="/home/af/gguf/models/decilm-7b-uniform-gqa-q8_0.gguf" | |
| #modelPath="/home/af/gguf/models/mixtral-8x7b-instruct-v0.1.Q4_0.gguf" | |
| if(os.path.exists(modelPath)==False): | |
| #url="https://huggingface.co/TheBloke/WizardLM-13B-V1.2-GGUF/resolve/main/wizardlm-13b-v1.2.Q4_0.gguf" | |
| #url="https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_0.gguf?download=true" | |
| #url="https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_0.gguf?download=true" | |
| url="https://huggingface.co/bartowski/gemma-2-9b-it-GGUF/resolve/main/gemma-2-9b-it-Q4_K_M.gguf?download=true" | |
| response = requests.get(url) | |
| with open("./model.gguf", mode="wb") as file: | |
| file.write(response.content) | |
| print("Model downloaded") | |
| modelPath="./model.gguf" | |
| print(modelPath) | |
| # Llama-cpp-Server | |
| #------------------ | |
| import subprocess | |
| command = ["python3", "-m", "llama_cpp.server", "--model", modelPath, "--host", "0.0.0.0", "--port", "2600", "--n_threads", "4", "--n_gpu_layers","20"] | |
| subprocess.Popen(command) | |
| print("Server ready!") | |
| # Gradio-GUI | |
| #------------ | |
| import gradio as gr | |
| import requests | |
| import json | |
| def response(message, history): | |
| prompt=message | |
| system="Du bist ein KI-basiertes Assistenzsystem." | |
| model="gemma-2" | |
| if("gemma-2" in model): | |
| prompt=f"<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n" | |
| if("mixtral-8x7b-instruct" in model): | |
| prompt=f"[INST] {prompt} [/INST]" | |
| if("Mistral-7B-Instruct" in model): | |
| prompt=f"[INST] {prompt} [/INST]" | |
| if("openchat-3.5" in model): | |
| prompt=f"GPT4 Correct User: {system} {prompt}<|end_of_turn|>GPT4 Correct Assistant:" | |
| if("SauerkrautLM-7b-HerO" in model): | |
| prompt=f"<|im_start|>system\n{system}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n" | |
| if("WizardLM-13B-V1.2" in model): | |
| prompt=f"{system} USER: {prompt} ASSISTANT: " | |
| if("phi-2" in model): | |
| prompt=f"Instruct: {prompt}\nOutput:" | |
| print(prompt) | |
| #url="https://afischer1985-wizardlm-13b-v1-2-q4-0-gguf.hf.space/v1/completions" | |
| url="http://0.0.0.0:2600/v1/completions" | |
| body={"prompt":prompt,"max_tokens":1000, "echo":"False","stream":"True"} #e.g. Mixtral-Instruct | |
| response="" | |
| buffer="" | |
| print("URL: "+url) | |
| print("User: "+message+"\nAI: ") | |
| for text in requests.post(url, json=body, stream=True): #-H 'accept: application/json' -H 'Content-Type: application/json' | |
| if buffer is None: buffer="" | |
| buffer=str("".join(buffer)) | |
| #print("*** Raw String: "+str(text)+"\n***\n") | |
| text=text.decode('utf-8') | |
| if((text.startswith(": ping -")==False) & (len(text.strip("\n\r"))>0)): buffer=buffer+str(text) | |
| #print("\n*** Buffer: "+str(buffer)+"\n***\n") | |
| buffer=buffer.split('"finish_reason": null}]}') | |
| if(len(buffer)==1): | |
| buffer="".join(buffer) | |
| pass | |
| if(len(buffer)==2): | |
| part=buffer[0]+'"finish_reason": null}]}' | |
| if(part.lstrip('\n\r').startswith("data: ")): part=part.lstrip('\n\r').replace("data: ", "") | |
| try: | |
| part = str(json.loads(part)["choices"][0]["text"]) | |
| print(part, end="", flush=True) | |
| response=response+part | |
| buffer="" # reset buffer | |
| except Exception as e: | |
| print("Exception:"+str(e)) | |
| pass | |
| yield response | |
| gr.ChatInterface(response, chatbot=gr.Chatbot(render_markdown=True),title="AI-Interface").queue().launch(share=True) #False, server_name="0.0.0.0", server_port=7864) | |
| print("Interface up and running!") | |