Create app.py

app.py

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+!pip install transformers
+!pip install torch
+!pip install streamlit
+!pip install SpeechRecognition
+!pip install gtts
+
+import streamlit as st  # Make sure to import streamlit
+import torch
+from transformers import MarianMTModel, MarianTokenizer
+import speech_recognition as sr
+from gtts import gTTS
+import os
+import datetime
+
+# Function definitions go here (as provided earlier)
+
+# Set the time restriction
+def is_allowed_time():
+    current_time = datetime.datetime.now().time()
+    if current_time >= datetime.time(18, 0):  # After 6 PM IST
+        return True
+    else:
+        return False
+
+# Streamlit app
+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.")