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Runtime error
Update app.py
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app.py
CHANGED
@@ -26,12 +26,11 @@ audioldm = build_model()
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def text2audio(text, duration, guidance_scale, random_seed, n_candidates):
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# print(text, length, guidance_scale)
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waveform = text_to_audio(audioldm, text, random_seed, duration=duration, guidance_scale=guidance_scale, n_candidate_gen_per_text=int(n_candidates)) # [bs, 1, samples]
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audio_out = waveform
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waveform = [gr.make_waveform((16000, wave[0]), bg_image="bg.png") for wave in waveform]
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# waveform = [(16000, np.random.randn(16000)), (16000, np.random.randn(16000))]
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if(len(waveform) == 1):
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waveform = waveform[0]
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return waveform
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# iface = gr.Interface(fn=text2audio, inputs=[
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# gr.Textbox(value="A man is speaking in a huge room", max_lines=1),
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@@ -226,7 +225,7 @@ with iface:
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n_candidates = gr.Slider(1, 5, value=3, step=1, label="Automatic quality control. This number control the number of candidates (e.g., generate three audios and choose the best to show you). A Larger value usually lead to better quality with heavier computation")
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############# Output
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# outputs=gr.Audio(label="Output", type="numpy")
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outputs=
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# with gr.Group(elem_id="container-advanced-btns"):
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# # advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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@@ -243,7 +242,7 @@ with iface:
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share_button = gr.Button("Share to community", elem_id="share-btn")
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btn.click(text2audio, inputs=[
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textbox, duration, guidance_scale, seed, n_candidates], outputs=outputs)
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share_button.click(None, [], [], _js=share_js)
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gr.HTML('''
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@@ -264,7 +263,7 @@ with iface:
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],
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fn=text2audio,
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inputs=[textbox, duration, guidance_scale, seed, n_candidates],
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outputs=outputs,
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cache_examples=True,
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)
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gr.HTML('''
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def text2audio(text, duration, guidance_scale, random_seed, n_candidates):
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# print(text, length, guidance_scale)
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waveform = text_to_audio(audioldm, text, random_seed, duration=duration, guidance_scale=guidance_scale, n_candidate_gen_per_text=int(n_candidates)) # [bs, 1, samples]
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waveform = [gr.make_waveform((16000, wave[0]), bg_image="bg.png") for wave in waveform]
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# waveform = [(16000, np.random.randn(16000)), (16000, np.random.randn(16000))]
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if(len(waveform) == 1):
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waveform = waveform[0]
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return waveform
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# iface = gr.Interface(fn=text2audio, inputs=[
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# gr.Textbox(value="A man is speaking in a huge room", max_lines=1),
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n_candidates = gr.Slider(1, 5, value=3, step=1, label="Automatic quality control. This number control the number of candidates (e.g., generate three audios and choose the best to show you). A Larger value usually lead to better quality with heavier computation")
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############# Output
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# outputs=gr.Audio(label="Output", type="numpy")
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outputs=gr.Video(label="Output", elem_id="output-video")
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# with gr.Group(elem_id="container-advanced-btns"):
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# # advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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share_button = gr.Button("Share to community", elem_id="share-btn")
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btn.click(text2audio, inputs=[
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textbox, duration, guidance_scale, seed, n_candidates], outputs=[outputs])
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share_button.click(None, [], [], _js=share_js)
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gr.HTML('''
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],
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fn=text2audio,
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inputs=[textbox, duration, guidance_scale, seed, n_candidates],
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outputs=[outputs],
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cache_examples=True,
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)
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gr.HTML('''
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