Update translation.py

translation.py

@@ -11,8 +11,8 @@ def load_model(src_lang, tgt_lang):
     try:
         model_name = f"Helsinki-NLP/opus-mt-{src_lang}-{tgt_lang}"
         return MarianTokenizer.from_pretrained(model_name), MarianMTModel.from_pretrained(model_name)
-    except:
-        st.warning(f"No model for {src_lang} to {tgt_lang}. Using en-fr.")
+    except Exception as e:
+        st.warning(f"No direct model for {src_lang} to {tgt_lang}. Falling back to en-fr or using input. Error: {str(e)}")
         return _load_default_model()
 
 DEFAULT_TOKENIZER, DEFAULT_MODEL = _load_default_model()
@@ -25,9 +25,13 @@ def translate(text, source_lang, target_lang):
     tgt_code = {"English": "en", "French": "fr", "Spanish": "es", "German": "de",
                 "Hindi": "hi", "Chinese": "zh", "Arabic": "ar", "Russian": "ru", "Japanese": "ja"}.get(target_lang, "fr")
     tokenizer, model = load_model(src_code, tgt_code)
-    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=400)
-    translated = model.generate(**inputs)
-    return tokenizer.decode(translated[0], skip_special_tokens=True)
+    try:
+        inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=400)
+        translated = model.generate(**inputs)
+        return tokenizer.decode(translated[0], skip_special_tokens=True)
+    except Exception as e:
+        st.error(f"Translation generation failed: {str(e)}. Returning input as fallback.")
+        return text
 
 LANGUAGES = {"English": "en", "French": "fr", "Spanish": "es", "German": "de",
              "Hindi": "hi", "Chinese": "zh", "Arabic": "ar", "Russian": "ru", "Japanese": "ja"}