shrunk

app.py

@@ -6,7 +6,7 @@ from simple_diarizer.diarizer import Diarizer
 import streamlit as st
 
 
-
+'''
 def speech_to_text(uploaded):
     model = whisper.load_model('tiny')
     result = model.transcribe(uploaded,verbose=True)
@@ -84,7 +84,7 @@ descript = ("This web app creates transcripts using OpenAI's [Whisper](https://g
             "can handle any file size, but requies some Python knowledge.\n"
             "* After uploading the file, **be sure to select the number of speakers**." )
 
-
+'''
 with st.form(key='my_form'):
     uploaded = st.file_uploader("Choose a file")
     nu_speakers = st.slider('Number of speakers in audio file:', min_value=1, max_value=6, value=2, step=1)
@@ -98,6 +98,6 @@ if submit:
     #st.write('Converting audio file.')
     #monotize('temp_audio')
     text = transcribe('temp_audio', nu_speakers)
-    
+
 
     # To read file as bytes: