| import streamlit as st |
| import torch |
| from transformers import MarianMTModel, MarianTokenizer |
| import speech_recognition as sr |
| from gtts import gTTS |
| import os |
| import datetime |
|
|
| def is_allowed_time(): |
| current_time = datetime.datetime.now().time() |
| if current_time >= datetime.time(18, 0): |
| return True |
| else: |
| return False |
|
|
| st.title("English to Hindi Audio Translation") |
|
|
| if is_allowed_time(): |
| audio_file = st.file_uploader("Upload an audio file", type=["wav", "mp3"]) |
| if audio_file is not None: |
| text = recognize_speech_from_file(audio_file) |
| st.write(f"Recognized English Text: {text}") |
| translated_text = translate_text(text) |
| st.write(f"Translated Hindi Text: {translated_text}") |
| audio_output = convert_to_audio(translated_text) |
| st.audio(audio_output, format='audio/mp3') |
| else: |
| st.write("Translation service is available after 6 PM IST.") |
|
|
|
|
