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Update app.py
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app.py
CHANGED
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@@ -11,11 +11,18 @@ st.set_page_config(page_title="Video-to-Text Summarization", layout="wide")
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# Header
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st.title("π₯ Smart Video-to-Text Summarization App")
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-
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# Temporary video storage
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if "video_path" not in st.session_state:
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st.session_state.video_path = None
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# Upload Video Section
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st.header("Upload Your Video")
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@@ -50,9 +57,10 @@ if youtube_upload_btn:
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# Process Video Section
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if st.session_state.video_path:
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st.header("Process Your Video")
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st.write(f"Processing {st.session_state.video_path}...")
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process_btn = st.button("
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if process_btn:
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def extract_audio(video_path):
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@@ -71,17 +79,18 @@ if st.session_state.video_path:
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try:
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model = whisper.load_model("base")
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result = model.transcribe(audio_path)
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st.
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return result['text']
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except Exception as e:
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st.error(f"Error in transcription: {str(e)}")
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return None
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if audio_path:
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transcription = transcribe_audio(audio_path)
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# Summarize and Translate Section
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if
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st.header("Results")
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summarize_btn = st.button("π Summarize Text")
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@@ -99,7 +108,7 @@ if 'transcription' in locals():
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summary = None
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if summarize_btn:
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summary = summarize_text(transcription)
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def translate_text(text, src_lang="en", tgt_lang="es"):
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try:
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# Header
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st.title("π₯ Smart Video-to-Text Summarization App")
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st.markdown("""
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This app helps you:
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- Convert videos into text and summarize them.
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- Extract multilingual transcriptions and translations.
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- Process videos with multiple speakers.
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""")
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# Temporary video storage
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if "video_path" not in st.session_state:
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st.session_state.video_path = None
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if "transcription" not in st.session_state:
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st.session_state.transcription = None
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# Upload Video Section
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st.header("Upload Your Video")
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# Process Video Section
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if st.session_state.video_path:
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st.header("Process Your Video")
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st.video(st.session_state.video_path)
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st.write(f"Processing {st.session_state.video_path}...")
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process_btn = st.button("π Process Video", key="process-video", help="Click to start processing", use_container_width=True)
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if process_btn:
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def extract_audio(video_path):
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try:
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model = whisper.load_model("base")
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result = model.transcribe(audio_path)
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st.session_state.transcription = result['text']
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st.text_area("Transcription", st.session_state.transcription, height=200)
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return result['text']
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except Exception as e:
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st.error(f"Error in transcription: {str(e)}")
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return None
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if audio_path:
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st.session_state.transcription = transcribe_audio(audio_path)
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# Summarize and Translate Section
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if st.session_state.transcription:
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st.header("Results")
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summarize_btn = st.button("π Summarize Text")
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summary = None
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if summarize_btn:
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summary = summarize_text(st.session_state.transcription)
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def translate_text(text, src_lang="en", tgt_lang="es"):
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try:
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