add transcribe

app.py

@@ -1,25 +1,18 @@
 import gradio as gr
 import requests
-# from transcribe import transcribe
+
+from transcribe import transcribe
 from sentiment_analysis import sentiment_analyser
 from summary import summarizer
 from topic import topic_gen
 from data import data
 
-def transcribe2():
-  response = requests.post("https://dwarkesh-whisper-speaker-recognition.hf.space/run/predict", json={
-    "data": [
-      {"name":"audio.wav","data":"data:audio/wav;base64,UklGRiQAAABXQVZFZm10IBAAAAABAAEARKwAAIhYAQACABAAZGF0YQAAAAA="},
-      2,
-  ]}).json()
-
-  data = response["data"]
 
 def main(audio_file, number_of_speakers):
   # Audio to Text Converter
-  # text_data = transcribe(audio_file, number_of_speakers)
-  # print(text_data)
-  text_data = data
+  text_data = transcribe(audio_file, number_of_speakers)
+  print(text_data)
+  # text_data = data
   topic = topic_gen(text_data)[0]["generated_text"]
   summary = summarizer(text_data)[0]["summary_text"]
   sent_analy = sentiment_analyser(text_data)