abhishekjoel commited on
Commit
a983102
·
verified ·
1 Parent(s): cf1021a

Update app.py

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Files changed (1) hide show
  1. app.py +19 -15
app.py CHANGED
@@ -77,23 +77,26 @@ def generate_summary(transcription):
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  # Define the main function to handle transcription and summary generation
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- def process_lecture(input_data, lesson_plan):
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  transcription = ""
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- if isinstance(input_data, tuple): # Audio input
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- input_type, input_value = input_data
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- if input_type == "audio":
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- with gr.File(input_value) as f:
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- transcription = transcribe_audio(f)
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- elif input_type == "youtube":
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- audio_path = download_youtube_audio(input_value)
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  with open(audio_path, "rb") as f:
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  transcription = transcribe_audio(f)
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- elif input_type == "pdf":
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- transcription = extract_text_from_pdf(input_value)
 
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- transcription_text = "\n".join([f"{segment['start']:.2f}-{segment['end']:.2f}: {segment['text']}" for segment in transcription['segments']])
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- summary = generate_summary(transcription)
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- return transcription_text, summary
 
 
 
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  # Set up Gradio interface
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  with gr.Blocks() as demo:
@@ -117,6 +120,7 @@ with gr.Blocks() as demo:
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  transcription_output = gr.Textbox(label="Lecture Transcription with Timestamps", interactive=False)
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  summary_output = gr.Textbox(label="Summarized Lecture Notes", interactive=False)
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- submit_btn.click(fn=process_lecture, inputs=[(input_type, [audio_input, pdf_input, youtube_input]), lesson_plan_input], outputs=[transcription_output, summary_output])
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- # Launch the interface demo.launch(share=True)
 
 
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  # Define the main function to handle transcription and summary generation
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+ def process_lecture(input_type, audio_input, pdf_input, youtube_input, lesson_plan):
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  transcription = ""
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+ if input_type == "Audio File":
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+ if audio_input is not None:
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+ transcription = transcribe_audio(audio_input)
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+ elif input_type == "YouTube URL":
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+ if youtube_input:
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+ audio_path = download_youtube_audio(youtube_input)
 
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  with open(audio_path, "rb") as f:
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  transcription = transcribe_audio(f)
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+ elif input_type == "PDF Document":
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+ if pdf_input is not None:
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+ transcription = extract_text_from_pdf(pdf_input)
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+ if transcription:
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+ transcription_text = "\n".join([f"{segment['start']:.2f}-{segment['end']:.2f}: {segment['text']}" for segment in transcription['segments']])
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+ summary = generate_summary(transcription)
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+ return transcription_text, summary
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+ else:
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+ return "No transcription available.", "No summary available."
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  # Set up Gradio interface
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  with gr.Blocks() as demo:
 
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  transcription_output = gr.Textbox(label="Lecture Transcription with Timestamps", interactive=False)
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  summary_output = gr.Textbox(label="Summarized Lecture Notes", interactive=False)
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+ submit_btn.click(fn=process_lecture, inputs=[input_type, audio_input, pdf_input, youtube_input, lesson_plan_input], outputs=[transcription_output, summary_output])
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+ # Launch the interface
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+ demo.launch(share=True)