maliahson commited on
Commit
8dc755e
·
verified ·
1 Parent(s): 616533c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +17 -5
app.py CHANGED
@@ -56,7 +56,7 @@ def stream(audio, chunk_length_s):
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  chunk_end_time = end_pos / sampling_rate
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  # Save timestamps for the current chunk
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- timestamps.append((chunk_start_time, chunk_end_time))
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  chunk = array[start_pos:end_pos]
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  chunk_mp3 = numpy_to_mp3(chunk, sampling_rate=sampling_rate)
@@ -65,7 +65,7 @@ def stream(audio, chunk_length_s):
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  first_time = round(time.time() - start_time, 2)
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  run_time = round(time.time() - start_time, 2)
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- yield chunk_mp3, first_time, run_time
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  # Save timestamps to a CSV file
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  with open("timestamps_30sec.csv", mode="w", newline="") as file:
@@ -82,14 +82,26 @@ def stream(audio, chunk_length_s):
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  with gr.Blocks() as demo:
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  with gr.Row():
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  with gr.Column():
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- audio_in = gr.Audio(value="librispeech.wav", sources=["upload"], type="numpy")
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  chunk_length = gr.Slider(minimum=2, maximum=10, value=2, step=2, label="Chunk length (s)")
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  run_button = gr.Button("Stream audio")
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  with gr.Column():
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- audio_out = gr.Audio(streaming=True, autoplay=True, format="mp3", label="mp3")
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  first_time = gr.Textbox(label="Time to first chunk (s)")
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  run_time = gr.Textbox(label="Time to current chunk (s)")
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- run_button.click(fn=stream, inputs=[audio_in, chunk_length], outputs=[audio_out, first_time, run_time])
 
 
 
 
 
 
 
 
 
 
 
 
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  demo.launch()
 
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  chunk_end_time = end_pos / sampling_rate
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  # Save timestamps for the current chunk
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+ timestamps.append((round(chunk_start_time, 2), round(chunk_end_time, 2)))
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  chunk = array[start_pos:end_pos]
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  chunk_mp3 = numpy_to_mp3(chunk, sampling_rate=sampling_rate)
 
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  first_time = round(time.time() - start_time, 2)
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  run_time = round(time.time() - start_time, 2)
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+ yield chunk_mp3, first_time, run_time, timestamps
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  # Save timestamps to a CSV file
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  with open("timestamps_30sec.csv", mode="w", newline="") as file:
 
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  with gr.Blocks() as demo:
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  with gr.Row():
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  with gr.Column():
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+ audio_in = gr.Audio(value="librispeech.wav", sources=["upload"], type="numpy", label="Input Audio")
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  chunk_length = gr.Slider(minimum=2, maximum=10, value=2, step=2, label="Chunk length (s)")
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  run_button = gr.Button("Stream audio")
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  with gr.Column():
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+ audio_out = gr.Audio(streaming=True, autoplay=True, format="mp3", label="Streamed MP3 Audio")
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  first_time = gr.Textbox(label="Time to first chunk (s)")
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  run_time = gr.Textbox(label="Time to current chunk (s)")
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+ with gr.Row():
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+ timestamps_output = gr.Dataframe(
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+ headers=["Start Time (s)", "End Time (s)"],
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+ label="Timestamps for the First 30 Seconds",
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+ interactive=False
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+ )
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+
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+ # Updated function outputs with the timestamps table
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+ run_button.click(
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+ fn=stream,
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+ inputs=[audio_in, chunk_length],
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+ outputs=[audio_out, first_time, run_time, timestamps_output]
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+ )
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  demo.launch()