Spaces:
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Running
add option to record from mic (#87)
Browse files
app.py
CHANGED
@@ -140,7 +140,12 @@ def predict_full(model, text, melody, duration, topk, topp, temperature, cfg_coe
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top_k=topk, top_p=topp, temperature=temperature, cfg_coef=cfg_coef)
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return outs[0]
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-
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def ui_full(launch_kwargs):
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with gr.Blocks() as interface:
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gr.Markdown(
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@@ -154,7 +159,9 @@ def ui_full(launch_kwargs):
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with gr.Column():
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with gr.Row():
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text = gr.Text(label="Input Text", interactive=True)
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-
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with gr.Row():
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submit = gr.Button("Submit")
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# Adapted from https://github.com/rkfg/audiocraft/blob/long/app.py, MIT license.
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@@ -171,6 +178,7 @@ def ui_full(launch_kwargs):
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with gr.Column():
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output = gr.Video(label="Generated Music")
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submit.click(predict_full, inputs=[model, text, melody, duration, topk, topp, temperature, cfg_coef], outputs=[output])
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gr.Examples(
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fn=predict_full,
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examples=[
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@@ -252,12 +260,15 @@ def ui_batched(launch_kwargs):
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with gr.Column():
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with gr.Row():
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text = gr.Text(label="Describe your music", lines=2, interactive=True)
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-
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with gr.Row():
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submit = gr.Button("Generate")
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with gr.Column():
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output = gr.Video(label="Generated Music")
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submit.click(predict_batched, inputs=[text, melody], outputs=[output], batch=True, max_batch_size=MAX_BATCH_SIZE)
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gr.Examples(
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fn=predict_batched,
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examples=[
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top_k=topk, top_p=topp, temperature=temperature, cfg_coef=cfg_coef)
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return outs[0]
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+
def toggle_audio_src(choice):
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if choice == "mic":
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return gr.update(source="microphone", value=None, label="Microphone")
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else:
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return gr.update(source="upload", value=None, label="File")
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def ui_full(launch_kwargs):
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with gr.Blocks() as interface:
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gr.Markdown(
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with gr.Column():
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with gr.Row():
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text = gr.Text(label="Input Text", interactive=True)
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with gr.Column():
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radio = gr.Radio(["file", "mic"], value="file", label="Condition on a melody (optional) File or Mic")
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melody = gr.Audio(source="upload", type="numpy", label="File", interactive=True, elem_id="melody-input")
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with gr.Row():
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submit = gr.Button("Submit")
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# Adapted from https://github.com/rkfg/audiocraft/blob/long/app.py, MIT license.
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with gr.Column():
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output = gr.Video(label="Generated Music")
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submit.click(predict_full, inputs=[model, text, melody, duration, topk, topp, temperature, cfg_coef], outputs=[output])
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radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False)
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gr.Examples(
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fn=predict_full,
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examples=[
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with gr.Column():
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with gr.Row():
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text = gr.Text(label="Describe your music", lines=2, interactive=True)
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with gr.Column():
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radio = gr.Radio(["file", "mic"], value="file", label="Condition on a melody (optional) File or Mic")
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melody = gr.Audio(source="upload", type="numpy", label="File", interactive=True, elem_id="melody-input")
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with gr.Row():
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submit = gr.Button("Generate")
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with gr.Column():
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output = gr.Video(label="Generated Music")
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submit.click(predict_batched, inputs=[text, melody], outputs=[output], batch=True, max_batch_size=MAX_BATCH_SIZE)
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radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False)
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gr.Examples(
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fn=predict_batched,
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examples=[
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