Update app.py

app.py

@@ -7,6 +7,7 @@ import os
 import streamlit as st
 from audio_recorder_streamlit import audio_recorder
 from langdetect import detect
+import numpy as np
 # Use a pipeline as a high-level helper
 #from transformers import pipeline
 #pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large")
@@ -54,8 +55,8 @@ if audio_bytes:
 else:
     st.write("No audio recorded.")
 # Detect the language
-language = detect(transcribed_text)
+language = detect(transcription)
 st.write(f"Detected language: {language}")
 
 # Create and open a txt file with the text
-create_and_open_txt(transcribed_text, f"output_{language}.txt")
+create_and_open_txt(transcription, f"output_{language}.txt")