Update app.py

app.py

@@ -4,12 +4,10 @@
 # Description: This script record the audio, transform it to text, detect the language of the file and save it to a txt file.
 # import required modules
 import os
-import whisper
-from langdetect import detect
-import torch
 import streamlit as st
 from audio_recorder_streamlit import audio_recorder
-import numpy as np
+import whisper
+from langdetect import detect
 
 # Function to open a file
 def startfile(fn):
@@ -24,22 +22,19 @@ def create_and_open_txt(text, filename):
 
 # Ask user to record audio
 st.title("Audio to Text Transcription..")
-audio_stream = audio_recorder(pause_threshold=3.0, sample_rate=16_000)
-
-# Download the audio stream
+audio_bytes = audio_recorder(pause_threshold=3.0, sample_rate=16_000)
 
 # Load the base model and transcribe the audio
 model = whisper.load_model("base")
-result = model.transcribe(audio_stream)
+result = model.transcribe(audio_bytes)
 transcribed_text = result["text"]
 print(transcribed_text)
 st.write("Transcription:")
 st.write(transcribed_text)
-    
 
 # Detect the language
 language = detect(transcribed_text)
 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(transcribed_text, f"output_{language}.txt")