Create app.py

app.py

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+# Import required libraries
+import streamlit as st
+import speech_recognition as sr
+from transformers import pipeline
+import pyttsx3
+
+# Initialize the text-to-speech engine
+tts_engine = pyttsx3.init()
+tts_engine.setProperty('rate', 150)  # Set the speech rate for TTS
+
+# Function to transcribe audio to text
+def transcribe_audio(audio_file, input_language):
+    try:
+        recognizer = sr.Recognizer()
+        with sr.AudioFile(audio_file) as source:
+            audio_data = recognizer.record(source)
+            text = recognizer.recognize_google(audio_data, language=input_language)
+            return text
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Function to translate text
+def translate_text(text, input_language, output_language):
+    try:
+        model_name = f"Helsinki-NLP/opus-mt-{input_language}-{output_language}"
+        translator = pipeline("translation", model=model_name)
+        translated = translator(text)[0]["translation_text"]
+        return translated
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Function to convert text to speech
+def speak_text(text):
+    try:
+        tts_engine.say(text)
+        tts_engine.runAndWait()
+    except Exception as e:
+        st.error(f"Error in text-to-speech: {str(e)}")
+
+# Streamlit app UI
+st.title("Real-Time Voice-to-Voice Translator 🌍🎤")
+st.markdown("""
+This app translates spoken input between multiple languages in real time. 
+1. Select input and output languages.
+2. Upload an audio file for translation.
+3. Listen to the translated speech.
+""")
+
+#