Create app.py

app.py

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+# Transform an audio to text script with language detection.
+# Author: Pratiksha Patel
+
+# 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
+
+# Function to open a file
+def startfile(fn):
+    os.system('open %s' % fn)
+    
+# Function to create and open a txt file
+def create_and_open_txt(text, filename):
+    # Create and write the text to a txt file
+    with open(filename, "w") as file:
+        file.write(text)
+    startfile(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
+
+# Load the base model and transcribe the audio
+model = whisper.load_model("base")
+result = model.transcribe(audio_stream)
+transcribed_text = result["text"]
+print(transcribed_text)
+
+
+
+    
+
+  
+        st.write("Transcription:")
+        st.write(transcription)
+    
+
+# 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")