Update app.py

app.py

@@ -2,7 +2,6 @@ import streamlit as st
 from transformers import pipeline
 from gtts import gTTS
 import speech_recognition as sr
-import pyaudio
 
 # Create a translation pipeline
 pipe = pipeline('translation', model='Helsinki-NLP/opus-mt-en-hi')
@@ -13,28 +12,17 @@ recognizer = sr.Recognizer()
 # Create a Streamlit input element for microphone input
 audio_input = st.empty()
 
+# Check if the microphone input is requested
 if st.checkbox("Use Microphone for English Input"):
     with audio_input:
         st.warning("Listening for audio input... Speak in English.")
         try:
-            # Create a PyAudio object
-            pa = pyaudio.PyAudio()
-
-            # Use PyAudio for microphone input
-            with pa.open(format=pyaudio.paInt16,
-                         channels=1,
-                         rate=44100,
-                         input=True,
-                         frames_per_buffer=1024) as stream:
-                audio_data = stream.read(44100)  # Adjust the number of frames as needed
-
-            # Close the PyAudio object
-            pa.terminate()
-
+            with sr.Microphone() as source:
+                audio = recognizer.listen(source)
             st.success("Audio input recorded. Translating...")
 
             # Recognize the English speech
-            english_text = recognizer.recognize_google(audio_data, language='en')
+            english_text = recognizer.recognize_google(audio, language='en')
 
             # Translate the English text to Hindi
             out = pipe(english_text, src_lang='en', tgt_lang='hi')
@@ -44,9 +32,11 @@ if st.checkbox("Use Microphone for English Input"):
             st.text(f"English Input: {english_text}")
             st.text(f"Hindi Translation: {translation_text}")
 
+            # Convert the translated text to speech
             tts = gTTS(translation_text, lang='hi')
             tts.save("translated_audio.mp3")
 
+            # Display the audio player for listening to the speech
             st.audio("translated_audio.mp3", format='audio/mp3')
 
         except sr.WaitTimeoutError: