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Update app.py
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app.py
CHANGED
@@ -236,20 +236,21 @@ def voice_conversion(apikey, ta, audio, choice1):
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# print("Reference Audio after decoder:")
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# IPython.display.display(Audio(ref_wav_voc, rate=ap.sample_rate))
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voicefixer.restore(input=ref_wav_voc, # input wav file path
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return [result.text, chat_response, "enhanced.wav"]
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c1=gr.Interface(
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fn=voice_conversion,
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inputs=[
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@@ -259,7 +260,8 @@ c1=gr.Interface(
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gr.Radio(["TOEFL", "Therapist", "Alice"], label="TOEFL Examiner, Therapist Tina, or Assistant Alice?"),
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],
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outputs=[
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],
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#theme="huggingface",
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description = "🤖 - 让有人文关怀的AI造福每一个人!AI向善,文明璀璨!TalktoAI - Enable the future!",
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@@ -274,7 +276,8 @@ c2=gr.Interface(
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gr.Radio(["TOEFL", "Therapist", "Alice"], label="TOEFL Examiner, Therapist Tina, or Assistant Alice?"),
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],
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outputs=[
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],
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#theme="huggingface",
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description = "🤖 - 让有人文关怀的AI造福每一个人!AI向善,文明璀璨!TalktoAI - Enable the future!",
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# print("Reference Audio after decoder:")
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# IPython.display.display(Audio(ref_wav_voc, rate=ap.sample_rate))
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# voicefixer.restore(input=ref_wav_voc, # input wav file path
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# output="audio1.wav", # output wav file path
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# cuda=True, # whether to use gpu acceleration
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# mode = 0) # You can try out mode 0, 1, or 2 to find out the best result
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# noisy = enhance_model.load_audio(
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# "audio1.wav"
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# ).unsqueeze(0)
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# enhanced = enhance_model.enhance_batch(noisy, lengths=torch.tensor([1.]))
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# torchaudio.save("enhanced.wav", enhanced.cpu(), 16000)
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# return [result.text, chat_response, "enhanced.wav"]
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return (ap.sample_rate, ref_wav_voc)
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c1=gr.Interface(
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fn=voice_conversion,
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inputs=[
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gr.Radio(["TOEFL", "Therapist", "Alice"], label="TOEFL Examiner, Therapist Tina, or Assistant Alice?"),
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],
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outputs=[
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# gr.Textbox(label="Speech to Text"), gr.Textbox(label="ChatGPT Output"), gr.Audio(label="Audio with Custom Voice"),
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gr.Audio(label="Audio with Custom Voice"),
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],
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#theme="huggingface",
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description = "🤖 - 让有人文关怀的AI造福每一个人!AI向善,文明璀璨!TalktoAI - Enable the future!",
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gr.Radio(["TOEFL", "Therapist", "Alice"], label="TOEFL Examiner, Therapist Tina, or Assistant Alice?"),
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],
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outputs=[
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# gr.Textbox(label="Speech to Text"), gr.Textbox(label="ChatGPT Output"), gr.Audio(label="Audio with Custom Voice"),
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gr.Audio(label="Audio with Custom Voice"),
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],
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#theme="huggingface",
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description = "🤖 - 让有人文关怀的AI造福每一个人!AI向善,文明璀璨!TalktoAI - Enable the future!",
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