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import gradio as gr |
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import requests |
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from PIL import Image |
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import os |
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token = os.environ.get('HF_TOKEN') |
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whisper_to_gpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT") |
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tts = gr.Interface.load(name="spaces/Flux9665/IMS-Toucan") |
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talking_face = gr.Blocks.load(name="spaces/fffiloni/one-shot-talking-face", api_key=token) |
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def infer(audio): |
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gpt_response = whisper_to_gpt(audio, "translate", fn_index=0) |
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audio_response = tts(gpt_response[1], "English Text", "English Accent", "English Speaker's Voice", fn_index=0) |
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portrait_link = talking_face("wise_woman_portrait.png", audio_response, fn_index=0) |
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portrait_response = requests.get(f'{portrait_link}', headers={'Authorization': 'Bearer ' + token}) |
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print(portrait_response.text) |
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return audio_response, portrait_link |
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inputs = gr.Audio(source="microphone",type="filepath") |
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outputs = [gr.Audio(), gr.Video()] |
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demo = gr.Interface(fn=infer, inputs=inputs, outputs=outputs) |
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demo.launch() |
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