Update app.py

app.py

@@ -3,40 +3,22 @@ import asyncio
 import torch
 import streamlit as st
 from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
-# from googletrans import Translator
-# import langdetect
 
-# ✅ Disable file watching for PyTorch compatibility with Streamlit
 os.environ["STREAMLIT_WATCH_FILE_SYSTEM"] = "false"
 
-# ✅ Fix for asyncio event loop crash on Windows
 try:
     asyncio.get_running_loop()
 except RuntimeError:
     asyncio.set_event_loop(asyncio.new_event_loop())
 
-# ✅ Load Fine-Tuned Chhattisgarhi Translation Model
+# Load model and tokenizer
 model_path = "app90/ChhattishgarhiAI_Model"
 model = MBartForConditionalGeneration.from_pretrained(model_path)
-# tokenizer = MBart50TokenizerFast.from_pretrained(model_path, src_lang="hi_IN", tgt_lang="hne_IN")
-tokenizer = MBart50Tokenizer.from_pretrained(model_path, src_lang="hi_IN", tgt_lang="hne_IN")
-translator = Translator()
+tokenizer = MBart50TokenizerFast.from_pretrained(model_path, src_lang="hi_IN", tgt_lang="hne_IN")
 
-# ✅ Detect Language
-# def detect_language(text):
-#     try:
-#         return langdetect.detect(text)
-#     except:
-#         return "unknown"
-
-# ✅ Translate English → Hindi
-# def translate_english_to_hindi(text):
-#     translated = translator.translate(text, src="en", dest="hi")
-#     return translated.text
-
-# ✅ Translate Hindi → Chhattisgarhi
+# Translate Hindi → Chhattisgarhi
 def translate_hindi_to_chhattisgarhi(text):
-    sentences = text.split("।")  # Sentence splitting
+    sentences = text.split("।")
     translated_sentences = []
 
     for sentence in sentences:
@@ -50,27 +32,15 @@ def translate_hindi_to_chhattisgarhi(text):
 
     return " । ".join(translated_sentences)
 
-# ✅ Streamlit UI
-st.title("English/Hindi to Chhattisgarhi Translator 🗣️")
-st.write("Enter an English or Hindi sentence and get its translation in Chhattisgarhi.")
+# Streamlit UI
+st.title("Hindi to Chhattisgarhi Translator 🗣️")
+st.write("Enter a Hindi sentence and get its translation in Chhattisgarhi.")
 
 user_input = st.text_area("Enter text:")
 
 if st.button("Translate"):
     if user_input.strip():
-        lang = detect_language(user_input)
-
-        if lang == "en":
-            hindi_text = translate_english_to_hindi(user_input)
-            chhattisgarhi_text = translate_hindi_to_chhattisgarhi(hindi_text)
-            st.success(f"**Hindi Translation**:\n{hindi_text}")
-            st.success(f"**Chhattisgarhi Translation**:\n{chhattisgarhi_text}")
-
-        elif lang == "hi":
-            chhattisgarhi_text = translate_hindi_to_chhattisgarhi(user_input)
-            st.success(f"**Chhattisgarhi Translation**:\n{chhattisgarhi_text}")
-
-        else:
-            st.error("❌ Unable to detect language. Please enter text in English or Hindi.")
+        chhattisgarhi_text = translate_hindi_to_chhattisgarhi(user_input)
+        st.success(f"**Chhattisgarhi Translation**:\n{chhattisgarhi_text}")
     else:
         st.warning("⚠ Please enter some text before translating.")