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Runtime error
Runtime error
sanchit-gandhi
commited on
Commit
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ccb306d
1
Parent(s):
26faa5f
remove plot
Browse files
app.py
CHANGED
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@@ -2,7 +2,6 @@ from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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from transformers.utils import is_flash_attn_2_available
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import torch
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import gradio as gr
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import matplotlib.pyplot as plt
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import time
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import os
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@@ -64,6 +63,7 @@ def transcribe(inputs):
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start_time = time.time()
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result = distil_pipe_forward(*args, **kwargs)
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distil_runtime = time.time() - start_time
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return result
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distil_pipe._forward = _forward_distil_time
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@@ -75,34 +75,13 @@ def transcribe(inputs):
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start_time = time.time()
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result = pipe_forward(*args, **kwargs)
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runtime = time.time() - start_time
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return result
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pipe._forward = _forward_time
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text = pipe(inputs, batch_size=BATCH_SIZE)["text"]
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fig, ax = plt.subplots(figsize=(5, 5))
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# Define bar width and positions
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bar_width = 0.1
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positions = [0, 0.1] # Adjusted positions to bring bars closer
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# Plot data
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ax.bar(positions[0], distil_runtime, bar_width, edgecolor='black')
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ax.bar(positions[1], runtime, bar_width, edgecolor='black')
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# Set title, labels, and xticks
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ax.set_ylabel('Transcription time (s)')
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ax.set_xticks(positions)
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ax.set_xticklabels(['Distil-Whisper', 'Whisper'])
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# Gridlines and other styling
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ax.grid(which='major', axis='y', linestyle='--', linewidth=0.5)
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# Use tight layout to avoid overlaps
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plt.tight_layout()
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yield distil_text, distil_runtime, text, runtime, plt
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if __name__ == "__main__":
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with gr.Blocks() as demo:
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@@ -129,18 +108,15 @@ if __name__ == "__main__":
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)
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audio = gr.components.Audio(type="filepath", label="Audio input")
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button = gr.Button("Transcribe")
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plot = gr.components.Plot()
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with gr.Row():
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distil_runtime = gr.components.Textbox(label="Distil-Whisper Transcription Time (s)")
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runtime = gr.components.Textbox(label="Whisper Transcription Time (s)")
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with gr.Row():
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distil_transcription = gr.components.Textbox(label="Distil-Whisper Transcription", show_copy_button=True)
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transcription = gr.components.Textbox(label="Whisper Transcription", show_copy_button=True)
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button.click(
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fn=transcribe,
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inputs=audio,
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outputs=[distil_transcription, distil_runtime, transcription, runtime
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)
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demo.queue().launch()
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from transformers.utils import is_flash_attn_2_available
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import torch
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import gradio as gr
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import time
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import os
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start_time = time.time()
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result = distil_pipe_forward(*args, **kwargs)
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distil_runtime = time.time() - start_time
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distil_runtime = round(distil_runtime, 2)
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return result
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distil_pipe._forward = _forward_distil_time
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start_time = time.time()
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result = pipe_forward(*args, **kwargs)
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runtime = time.time() - start_time
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runtime = round(runtime, 2)
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return result
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pipe._forward = _forward_time
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text = pipe(inputs, batch_size=BATCH_SIZE)["text"]
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yield distil_text, distil_runtime, text, runtime
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if __name__ == "__main__":
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with gr.Blocks() as demo:
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)
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audio = gr.components.Audio(type="filepath", label="Audio input")
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button = gr.Button("Transcribe")
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with gr.Row():
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distil_runtime = gr.components.Textbox(label="Distil-Whisper Transcription Time (s)")
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runtime = gr.components.Textbox(label="Whisper Transcription Time (s)")
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with gr.Row():
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distil_transcription = gr.components.Textbox(label="Distil-Whisper Transcription", show_copy_button=True)
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transcription = gr.components.Textbox(label="Whisper Transcription", show_copy_button=True)
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button.click(
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fn=transcribe,
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inputs=audio,
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outputs=[distil_transcription, distil_runtime, transcription, runtime],
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)
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demo.queue().launch()
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