Update app.py

app.py

@@ -1,34 +1,3 @@
-# import gradio as gr
-# import openai
-
-# from gtts import gTTS
-# import os
-# import subprocess
-# from pydub import AudioSegment
-# import math
-# from transformers import pipeline
-# openai.api_key = " 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"
-# messages = [
-#     {"role": "system", "content": "You are a call center quality and assurance auditor. Your job is to review the call recording, and provide a very brief summary of the key information in the call including Operator’s Name, Call Category, Issue, and Solution. Also, you need to conduct sentiment analysis on the call and evaluate the customers satisfaction rate from 1 to 10 and provide a very short straight-to-the-point area of improvement to the operator."},
-# ]
-
-# def transcribe(audio):
-#     global messages
-    
-#     segment_length = 60000
-#     # Open the audio file
-#     audio_file = AudioSegment.from_file(audio)
-#     # Get the duration of the audio file in milliseconds
-#     duration_ms = len(audio_file)
-
-#     # Calculate the number of segments needed
-#     num_segments = math.ceil(duration_ms / segment_length)
-
-#     # Create an empty string to hold the concatenated text
-#     all_text = ""
-#     # Split the audio file into segments
-
-#     for i in range(num_segments):
 
 import streamlit as st
 import openai