Create audio_processor.py

audio_processor.py

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+import streamlit as st
+import speech_recognition as sr
+from gtts import gTTS
+import os
+
+def transcribe_audio(audio_file):
+    """Transcribe uploaded audio file to text."""
+    recognizer = sr.Recognizer()
+    try:
+        # Save uploaded file temporarily
+        with open("temp_audio.wav", "wb") as f:
+            f.write(audio_file.read())
+        
+        # Transcribe using SpeechRecognition
+        with sr.AudioFile("temp_audio.wav") as source:
+            audio = recognizer.record(source)
+            text = recognizer.recognize_google(audio)
+        
+        # Clean up
+        os.remove("temp_audio.wav")
+        return text
+    except Exception as e:
+        st.error(f"Audio transcription failed: {str(e)}")
+        return ""
+
+def text_to_speech(text, target_lang):
+    """Convert translated text to audio."""
+    try:
+        # Map target language to gTTS codes
+        lang_map = {
+            "English": "en",
+            "French": "fr",
+            "Spanish": "es",
+            "German": "de",
+            "Chinese": "zh",
+            "Arabic": "ar",
+            "Russian": "ru",
+            "Hindi": "hi",
+            "Japanese": "ja"
+        }
+        lang_code = lang_map.get(target_lang, "en")
+        
+        # Generate audio
+        tts = gTTS(text=text, lang=lang_code, slow=False)
+        audio_path = "output_audio.mp3"
+        tts.save(audio_path)
+        return audio_path
+    except Exception as e:
+        st.error(f"Audio generation failed: {str(e)}")
+        return None