Update app.py

app.py

@@ -2,8 +2,7 @@ import streamlit as st
 from kokoro import KPipeline
 import soundfile as sf
 import io
-import os
-import requests  # Used to send requests to LibreTranslate API
+import requests
 
 # Streamlit App UI Setup
 st.title("Text-to-Speech with Kokoro")
@@ -77,24 +76,22 @@ speed = st.slider("Speed", min_value=0.5, max_value=2.0, value=1.0, step=0.1)
 # Initialize the TTS pipeline with user-selected language
 pipeline = KPipeline(lang_code=lang_code)
 
-# LibreTranslate API URL (public API endpoint)
-LIBRETRANSLATE_URL = "https://libretranslate.de/translate"
+# Targoman API Endpoint for translation
+TARGOMAN_URL = "https://api.targoman.com/translate"
 
-# Translate text to English using LibreTranslate
+# Translate text to English using Targoman API
 def translate_to_english(text, lang_code):
-    # Send a POST request to LibreTranslate API
-    response = requests.post(LIBRETRANSLATE_URL, data={
+    response = requests.post(TARGOMAN_URL, data={
         'q': text,
         'source': lang_code,
         'target': 'en'
     })
-    
-    # Check for a successful response
+
     if response.status_code == 200:
         return response.json()['translatedText']
     else:
         st.error(f"Translation failed. Status Code: {response.status_code}")
-        return text  # Return the original text in case of failure
+        return text  # Return original text in case of failure
 
 # Generate Audio function
 def generate_audio(text, lang_code, voice, speed):
@@ -124,7 +121,7 @@ if st.button('Generate Audio'):
         mime="audio/wav"
     )
 
-    # Translate the input text to English using LibreTranslate
+    # Translate the input text to English using Targoman
     translated_text = translate_to_english(input_text, lang_code)
 
     # Generate audio for the translated English text