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  1. .gitattributes +1 -0
  2. main.py +88 -0
  3. triplet3.png +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ triplet3.png filter=lfs diff=lfs merge=lfs -text
main.py ADDED
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+ import streamlit as st
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+ import openai
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+
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+ import tempfile
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+ import os
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+
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+ # Set up the Streamlit app
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+ st.title("Triplet Audio Transcription and Journal Structuring App")
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+
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+ # Make an image for the app with the triplet.png image
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+ st.image("triplet3.png", width=600)
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+ st.write("Upload an audio file, and we'll transcribe it and structure the output as a journal entry.")
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+
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+ # Supported audio file formats
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+ SUPPORTED_FORMATS = ['flac', 'm4a', 'mp3', 'mp4', 'mpeg', 'mpga', 'oga', 'ogg', 'wav', 'webm']
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+
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+ # Input field for OpenAI API key
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+ api_key = st.text_input("Enter your OpenAI API key:", type="password")
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+
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+ st.write("Everything is open source, please clone and run locally. Bring your own API key. We are using base whisper and chat-gpt models from OpenAI. The app is built using Streamlit and Python. (Note: This app is for demonstration purposes only. Do not upload sensitive information.")
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+
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+
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+ if api_key:
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+ # Initialize OpenAI client with the API key
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+ client = openai.OpenAI(api_key=api_key)
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+
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+ # Function to transcribe audio using OpenAI Whisper
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+ def transcribe_audio(file_path):
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+ try:
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+ with open(file_path, "rb") as audio_file:
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+ transcript = client.audio.transcriptions.create(
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+ file=audio_file,
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+ model="whisper-1",
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+ response_format="verbose_json"
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+ )
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+ transcription = transcript.text
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+ return transcription
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+ except Exception as e:
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+ st.error(f"Error in transcription: {e}")
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+ return None
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+
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+ # Function to structure transcription as a journal entry using Chat-GPT
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+ def structure_as_journal(transcription):
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+ try:
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+ prompt = f"Structure the following transcription as a detailed journal entry:\n\n{transcription}"
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+ response = client.chat.completions.create(
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+ model="gpt-3.5-turbo",
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+ messages=[
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+ {"role": "system", "content": "You are a helpful assistant."},
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+ {"role": "user", "content": prompt}
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+ ],
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+ max_tokens=1024
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+ )
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+ journal_entry = response.choices[0].message.content
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+ return journal_entry
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+ except Exception as e:
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+ st.error(f"Error in structuring journal entry: {e}")
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+ return None
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+
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+ # File uploader for audio files
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+ uploaded_file = st.file_uploader("Upload an audio file", type=SUPPORTED_FORMATS)
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+
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+ if uploaded_file:
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+ # Save uploaded file temporarily
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+ with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as temp_file:
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+ temp_file.write(uploaded_file.read())
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+ temp_file_path = temp_file.name
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+
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+ # Transcribe audio
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+ st.write("Transcribing audio...")
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+ transcription = transcribe_audio(temp_file_path)
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+
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+ if transcription:
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+ st.write("Transcription:")
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+ st.write(transcription)
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+
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+ # Structure transcription as a journal entry
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+ st.write("Structuring as a journal entry...")
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+ journal_entry = structure_as_journal(transcription)
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+
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+ if journal_entry:
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+ st.write("Journal Entry:")
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+ st.write(journal_entry)
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+
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+ # Clean up temporary file
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+ os.remove(temp_file_path)
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+ else:
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+ st.warning("Please enter your OpenAI API key to proceed.")
triplet3.png ADDED

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