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import streamlit as st
from transformers import pipeline
from gtts import gTTS
import speech_recognition as sr
pipe = pipeline('translation', model='Helsinki-NLP/opus-mt-en-hi')
recognizer = sr.Recognizer()
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)
st.success("Audio input recorded. Translating...")
english_text = recognizer.recognize_google(audio, language='en')
out = pipe(english_text, src_lang='en', tgt_lang='hi')
translation_text = out[0]['translation_text']
st.text(f"English Input: {english_text}")
st.text(f"Hindi Translation: {translation_text}")
tts = gTTS(translation_text, lang='hi')
tts.save("translated_audio.mp3")
st.audio("translated_audio.mp3", format='audio/mp3')
except sr.WaitTimeoutError:
st.warning("No speech detected. Please speak into the microphone.")
except sr.RequestError as e:
st.error(f"Could not request results from Google Speech Recognition service: {e}")
except sr.UnknownValueError:
st.warning("Speech recognition could not understand the audio.")
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