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import streamlit as st |
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import speech_recognition as sr |
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from gtts import gTTS |
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import io |
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def transcribe_audio(audio_file): |
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recognizer = sr.Recognizer() |
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try: |
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with open("temp_audio.wav", "wb") as f: |
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f.write(audio_file.read()) |
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with sr.AudioFile("temp_audio.wav") as source: |
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audio = recognizer.record(source) |
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text = recognizer.recognize_google(audio) |
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return text |
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except Exception as e: |
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st.error(f"Transcription failed: {str(e)}") |
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return "" |
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def text_to_speech(text, target_lang): |
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try: |
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if not text: |
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st.error("No text to convert.") |
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return None |
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lang_map = {"English": "en", "French": "fr", "Spanish": "es", "German": "de", |
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"Chinese": "zh-cn", "Arabic": "ar", "Russian": "ru", "Hindi": "hi", "Japanese": "ja"} |
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lang_code = lang_map.get(target_lang, "en") |
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st.write(f"Attempting audio for {lang_code}") |
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tts = gTTS(text=text[:200], lang=lang_code, slow=False) |
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audio_buffer = io.BytesIO() |
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tts.write_to_fp(audio_buffer) |
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audio_buffer.seek(0) |
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st.success(f"Audio generated for {target_lang}") |
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return audio_buffer |
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except Exception as e: |
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st.error(f"Audio failed: {str(e)}") |
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return None |
