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Update app.py
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app.py
CHANGED
@@ -15,19 +15,11 @@ from typing import Optional, Dict, Any
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from download import download_video_audio, delete_download
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from st_audiorec import st_audiorec # Import the audio recorder component
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st.set_page_config(
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page_title="Meeting Notes",
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page_icon="π§ββοΈ",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# Set max file size for audio uploads (40MB)
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MAX_FILE_SIZE = 41943040 # 40MB
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FILE_TOO_LARGE_MESSAGE = "File too large. Maximum size is 40MB."
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# Load environment variables - will also load from Hugging Face secrets
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load_dotenv()
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# Initialize session states
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@@ -43,6 +35,14 @@ if 'groq_client' not in st.session_state:
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if 'transcription_error' not in st.session_state:
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st.session_state.transcription_error = None
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# Fixed model selections
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LLM_MODEL = "deepseek-r1-distill-llama-70b"
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TRANSCRIPTION_MODEL = "distil-whisper-large-v3-en"
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@@ -219,7 +219,8 @@ def retry_with_exponential_backoff(max_tries=MAX_RETRIES, initial_wait=INITIAL_W
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# Inform user of retry attempt
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st.info(f"Retrying transcription... (Attempt {tries}/{max_tries})")
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time.sleep(wait_with_jitter)
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return wrapper
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return decorator
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@@ -322,9 +323,12 @@ def process_transcript(transcript):
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Please analyze the following transcript and transform it into highly organized notes:
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```
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{transcript}
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```
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Create a well-structured document with the following sections:
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# Executive Summary
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@@ -521,7 +525,7 @@ def main():
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# Add a button to transcribe the recorded audio
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if st.button("Transcribe Recording", key="transcribe_rec"):
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with st.spinner("Transcribing audio
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try:
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transcript = transcribe_audio_with_groq(wav_audio_data)
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if transcript:
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@@ -573,7 +577,7 @@ def main():
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# Reset any previous transcription errors
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st.session_state.transcription_error = None
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with st.spinner("Transcribing audio
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try:
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transcript = transcribe_audio_with_groq(audio_file_path)
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if transcript:
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@@ -628,7 +632,7 @@ def main():
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st.success("Video downloaded successfully!")
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st.audio(audio_path)
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with st.spinner("Transcribing audio
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try:
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transcript = transcribe_audio_with_groq(audio_path)
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if transcript:
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from download import download_video_audio, delete_download
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from st_audiorec import st_audiorec # Import the audio recorder component
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# Set max file size for audio uploads (40MB)
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MAX_FILE_SIZE = 41943040 # 40MB
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FILE_TOO_LARGE_MESSAGE = "File too large. Maximum size is 40MB."
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# Load environment variables - will also load from Hugging Face secrets
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load_dotenv()
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# Initialize session states
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if 'transcription_error' not in st.session_state:
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st.session_state.transcription_error = None
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# Set page configuration
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st.set_page_config(
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page_title="ScribeWizard π§ββοΈ",
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page_icon="π§ββοΈ",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# Fixed model selections
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LLM_MODEL = "deepseek-r1-distill-llama-70b"
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TRANSCRIPTION_MODEL = "distil-whisper-large-v3-en"
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# Inform user of retry attempt
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st.info(f"Retrying transcription... (Attempt {tries}/{max_tries})")
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time.sleep(wait_with_jitter)
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return None # This line should never be reached but is added to satisfy the function signature
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return wrapper
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return decorator
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Please analyze the following transcript and transform it into highly organized notes:
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```
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{transcript}
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```
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Create a well-structured document with the following sections:
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# Executive Summary
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# Add a button to transcribe the recorded audio
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if st.button("Transcribe Recording", key="transcribe_rec"):
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with st.spinner("Transcribing audio with Groq..."):
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try:
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transcript = transcribe_audio_with_groq(wav_audio_data)
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if transcript:
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# Reset any previous transcription errors
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st.session_state.transcription_error = None
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with st.spinner("Transcribing audio with Groq..."):
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try:
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transcript = transcribe_audio_with_groq(audio_file_path)
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if transcript:
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st.success("Video downloaded successfully!")
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st.audio(audio_path)
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with st.spinner("Transcribing audio with Groq..."):
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try:
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transcript = transcribe_audio_with_groq(audio_path)
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if transcript:
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