Update app.py

app.py

@@ -2,31 +2,44 @@ 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')
 
-
+# Initialize the SpeechRecognition recognizer
 recognizer = sr.Recognizer()
 
-
+# Create a Streamlit input element for microphone input
 audio_input = st.empty()
 
 if st.checkbox("Use Microphone for English Input"):
     with audio_input:
         st.warning("Listening for audio input... Speak in English.")
         try:
-            with sr.Microphone() as source:
-                audio = recognizer.listen(source)
+            # 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()
+
             st.success("Audio input recorded. Translating...")
 
-          
-            english_text = recognizer.recognize_google(audio, language='en')
+            # Recognize the English speech
+            english_text = recognizer.recognize_google(audio_data, language='en')
 
-       
+            # Translate the English text to Hindi
             out = pipe(english_text, src_lang='en', tgt_lang='hi')
 
-            
+            # Extract the translation
             translation_text = out[0]['translation_text']
             st.text(f"English Input: {english_text}")
             st.text(f"Hindi Translation: {translation_text}")
@@ -34,7 +47,6 @@ if st.checkbox("Use Microphone for English Input"):
             tts = gTTS(translation_text, lang='hi')
             tts.save("translated_audio.mp3")
 
-            
             st.audio("translated_audio.mp3", format='audio/mp3')
 
         except sr.WaitTimeoutError: