Delete main.py

main.py

@@ -1,88 +0,0 @@
-import streamlit as st
-import openai
-
-import tempfile
-import os
-
-# Set up the Streamlit app
-st.title("Triplet Audio Transcription and Journal Structuring App")
-
-# Make an image for the app with the triplet.png image
-st.image("triplet3.png", width=600)
-st.write("Upload an audio file, and we'll transcribe it and structure the output as a journal entry.")
-
-# Supported audio file formats
-SUPPORTED_FORMATS = ['flac', 'm4a', 'mp3', 'mp4', 'mpeg', 'mpga', 'oga', 'ogg', 'wav', 'webm']
-
-# Input field for OpenAI API key
-api_key = st.text_input("Enter your OpenAI API key:", type="password")
-
-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.")
-
-
-if api_key:
-    # Initialize OpenAI client with the API key
-    client = openai.OpenAI(api_key=api_key)
-
-    # Function to transcribe audio using OpenAI Whisper
-    def transcribe_audio(file_path):
-        try:
-            with open(file_path, "rb") as audio_file:
-                transcript = client.audio.transcriptions.create(
-                                file=audio_file,
-                                model="whisper-1",
-                                response_format="verbose_json"
-                                )
-                transcription = transcript.text
-            return transcription
-        except Exception as e:
-            st.error(f"Error in transcription: {e}")
-            return None
-
-    # Function to structure transcription as a journal entry using Chat-GPT
-    def structure_as_journal(transcription):
-        try:
-            prompt = f"Structure the following transcription as a detailed journal entry:\n\n{transcription}"
-            response = client.chat.completions.create(
-                model="gpt-3.5-turbo",
-                messages=[  
-                    {"role": "system", "content": "You are a helpful assistant."},
-                    {"role": "user", "content": prompt}
-                ],
-                max_tokens=1024
-            )
-            journal_entry = response.choices[0].message.content
-            return journal_entry
-        except Exception as e:
-            st.error(f"Error in structuring journal entry: {e}")
-            return None
-
-    # File uploader for audio files
-    uploaded_file = st.file_uploader("Upload an audio file", type=SUPPORTED_FORMATS)
-
-    if uploaded_file:
-        # Save uploaded file temporarily
-        with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as temp_file:
-            temp_file.write(uploaded_file.read())
-            temp_file_path = temp_file.name
-
-        # Transcribe audio
-        st.write("Transcribing audio...")
-        transcription = transcribe_audio(temp_file_path)
-
-        if transcription:
-            st.write("Transcription:")
-            st.write(transcription)
-
-            # Structure transcription as a journal entry
-            st.write("Structuring as a journal entry...")
-            journal_entry = structure_as_journal(transcription)
-
-            if journal_entry:
-                st.write("Journal Entry:")
-                st.write(journal_entry)
-
-        # Clean up temporary file
-        os.remove(temp_file_path)
-else:
-    st.warning("Please enter your OpenAI API key to proceed.")