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| import streamlit as st | |
| import speech_recognition as sr | |
| from deep_translator import GoogleTranslator | |
| from pydub import AudioSegment | |
| from io import BytesIO | |
| import tempfile | |
| # Title of the app | |
| st.title("Speech-to-Text with Translation to English") | |
| # Initialize recognizer | |
| recognizer = sr.Recognizer() | |
| # Choice for input language | |
| language_options = {"English": "en", "Hindi": "hi"} | |
| input_language = st.selectbox("Select Input Language", options=language_options.keys()) | |
| selected_lang_code = language_options[input_language] | |
| # Function to convert audio chunk to text | |
| def speech_to_text(audio_data, lang="en"): | |
| try: | |
| st.info("Converting speech to text...") | |
| detected_text = recognizer.recognize_google(audio_data, language=lang) | |
| return detected_text | |
| except Exception as e: | |
| st.error(f"Error in speech recognition: {e}") | |
| return None | |
| # Process uploaded audio file | |
| uploaded_file = st.file_uploader("Upload an audio file", type=["wav", "mp3", "ogg"]) | |
| if uploaded_file: | |
| with st.spinner("Processing uploaded audio..."): | |
| try: | |
| # Convert uploaded file to WAV format using pydub | |
| audio = AudioSegment.from_file(BytesIO(uploaded_file.read())) | |
| # Split audio into 30-second chunks | |
| chunk_duration_ms = 30000 | |
| chunks = [audio[i:i+chunk_duration_ms] for i in range(0, len(audio), chunk_duration_ms)] | |
| text_output = "" | |
| for i, chunk in enumerate(chunks): | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_wav_file: | |
| chunk.export(tmp_wav_file.name, format="wav") | |
| with sr.AudioFile(tmp_wav_file.name) as source: | |
| audio_data = recognizer.record(source) | |
| detected_text = speech_to_text(audio_data, lang=selected_lang_code) | |
| if detected_text: | |
| text_output += detected_text + " " | |
| # Display detected text and translate | |
| if text_output: | |
| st.write("Detected Speech Text:", text_output) | |
| translator = GoogleTranslator(source='auto', target='en') | |
| translated_text = translator.translate(text_output) | |
| st.write("Translated Text (English):", translated_text) | |
| except Exception as e: | |
| st.error(f"Error processing the audio file: {e}") | |