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CPU Upgrade
| import os | |
| import sys | |
| import time | |
| import requests | |
| from subprocess import Popen, PIPE | |
| import threading | |
| from huggingface_hub import hf_hub_download | |
| import gradio as gr | |
| hf_model_name = "Pendrokar/xvapitch_nvidia" | |
| hf_cache_models_path = '/home/user/.cache/huggingface/hub/models--Pendrokar--xvapitch_nvidia/snapshots/61b10e60b22bc21c1e072f72f1108b9c2b21e94c/' | |
| # models_path = './resources/app/models/ccby/' | |
| models_path = '/home/user/.cache/huggingface/hub/models--Pendrokar--xvapitch_nvidia/snapshots/61b10e60b22bc21c1e072f72f1108b9c2b21e94c/' | |
| voice_models = [ | |
| "ccby_nvidia_hifi_6670_M", | |
| "ccby_nv_hifi_11614_F", | |
| "ccby_nvidia_hifi_11697_F", | |
| "ccby_nvidia_hifi_12787_F", | |
| "ccby_nvidia_hifi_6097_M", | |
| "ccby_nvidia_hifi_6671_M", | |
| "ccby_nvidia_hifi_8051_F", | |
| "ccby_nvidia_hifi_9017_M", | |
| "ccby_nvidia_hifi_9136_F", | |
| "ccby_nvidia_hifi_92_F", | |
| ] | |
| current_voice_model = None | |
| # move models to a more persistant place | |
| # try: | |
| # for voice_model_name in voice_model_names: | |
| # os.rename(hf_cache_models_path + voice_model_name + '.pt', models_path + voice_model_name + '.pt') | |
| # os.rename(hf_cache_models_path + voice_model_name + '.json', models_path + voice_model_name + '.json') | |
| # os.rename(hf_cache_models_path + voice_model_name + '.wav', models_path + voice_model_name + '.wav') | |
| # except Exception as e: | |
| # print(f'Failed to move downloaded models, perhaps already moved: {e}') | |
| def run_xvaserver(): | |
| # start the process without waiting for a response | |
| print('Running xVAServer subprocess...\n') | |
| xvaserver = Popen(['python', f'{os.path.dirname(os.path.abspath(__file__))}/resources/app/server.py'], stdout=PIPE, stderr=PIPE, cwd=f'{os.path.dirname(os.path.abspath(__file__))}/resources/app/') | |
| # Wait for a moment to ensure the server starts up | |
| time.sleep(10) | |
| # Check if the server is running | |
| if xvaserver.poll() is not None: | |
| print("Web server failed to start.") | |
| sys.exit(0) | |
| # contact local xVASynth server | |
| print('Attempting to connect to xVASynth...') | |
| try: | |
| response = requests.get('http://0.0.0.0:8008') | |
| response.raise_for_status() # If the response contains an HTTP error status code, raise an exception | |
| except requests.exceptions.RequestException as err: | |
| print('Failed to connect!') | |
| return | |
| print('xVAServer running on port 8008') | |
| # load default model | |
| load_model(voice_models[0]) | |
| current_voice_model = voice_models[0] | |
| # Wait for the process to exit | |
| xvaserver.wait() | |
| def load_model(voice_model_name): | |
| model_path = models_path + voice_model_name | |
| model_type = 'xVAPitch' | |
| language = 'en' | |
| data = { | |
| 'outputs': None, | |
| 'version': '3.0', | |
| 'model': model_path, | |
| 'modelType': model_type, | |
| 'base_lang': language, | |
| 'pluginsContext': '{}', | |
| } | |
| try: | |
| response = requests.post('http://0.0.0.0:8008/loadModel', json=data) | |
| response.raise_for_status() # If the response contains an HTTP error status code, raise an exception | |
| current_voice_model = voice_model_name | |
| except requests.exceptions.RequestException as err: | |
| print('Failed to load voice model!') | |
| return | |
| def predict(input_text, pacing, voice): | |
| # load voice model if not the current model | |
| if (current_voice_model != voice): | |
| load_model(voice) | |
| model_type = 'xVAPitch' | |
| pace = pacing if pacing else 1.0 | |
| save_path = '/tmp/xvapitch_audio_sample.wav' | |
| language = 'en' | |
| base_speaker_emb = 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| |
| use_sr = 0 | |
| use_cleanup = 0 | |
| data = { | |
| 'pluginsContext': '{}', | |
| 'modelType': model_type, | |
| # pad with whitespaces as a workaround to avoid cutoffs | |
| 'sequence': input_text.center(len(input_text) + 2, ' '), | |
| 'pace': pace, | |
| 'outfile': save_path, | |
| 'vocoder': 'n/a', | |
| 'base_lang': language, | |
| 'base_emb': base_speaker_emb, | |
| 'useSR': use_sr, | |
| 'useCleanup': use_cleanup, | |
| } | |
| try: | |
| response = requests.post('http://0.0.0.0:8008/synthesize', json=data) | |
| response.raise_for_status() # If the response contains an HTTP error status code, raise an exception | |
| except requests.exceptions.RequestException as err: | |
| print('Failed to synthesize!') | |
| print('server.log contents:') | |
| with open('resources/app/server.log', 'r') as f: | |
| print(f.read()) | |
| return save_path | |
| input_textbox = gr.Textbox( | |
| label="Input Text", | |
| lines=1, | |
| max_lines=5, | |
| autofocus=True | |
| ) | |
| pacing_slider = gr.Slider(0.5, 2.0, value=1.0, step=0.1, label="Pacing") | |
| voice_radio = gr.Radio( | |
| voice_models, | |
| label="Voice", | |
| info="NVIDIA HIFI CC-BY-4.0 model" | |
| ) | |
| gradio_app = gr.Interface( | |
| predict, | |
| [ | |
| input_textbox, | |
| pacing_slider, | |
| voice_radio | |
| ], | |
| outputs=gr.Audio(label="22kHz audio", type="filepath"), | |
| title="xVASynth (WIP)" | |
| # examples=[ | |
| # ["Once, I headed in much deeper. But I doubt I'll ever do that again.", 1], | |
| # ["You love hurting me, huh?", 1.5], | |
| # ["Ah, I see. Well, I'm afraid I can't help with that.", 1], | |
| # ["Embrace your demise!", 1], | |
| # ["Never come back!", 1] | |
| # ], | |
| # cache_examples=None | |
| ) | |
| if __name__ == "__main__": | |
| # Run the web server in a separate thread | |
| web_server_thread = threading.Thread(target=run_xvaserver) | |
| print('Starting xVAServer thread') | |
| web_server_thread.start() | |
| print('running Gradio interface') | |
| gradio_app.launch() | |
| # Wait for the web server thread to finish (shouldn't be reached in normal execution) | |
| web_server_thread.join() | |