added the various models

app.py

@@ -61,8 +61,9 @@ def load_model_and_tokenizer(language):
 def translate_text(text):
     # Detect the language
     detected_language = detect_language(text)
+    print(f"Detected Language: {detected_language}")  # Print detected language for the app output
     if detected_language not in lang_to_model:
-        return f"Language '{detected_language}' is not supported for translation."
+        return f"Detected Language: {detected_language}. Language not supported for translation."
 
     # Load the appropriate model and tokenizer
     tokenizer, model = load_model_and_tokenizer(detected_language)
@@ -77,7 +78,8 @@ def translate_text(text):
     
     # Decode output
     translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return translation
+    return f"Detected Language: {detected_language}\nTranslation: {translation}"
+
 
 # Define Gradio interface
 iface = gr.Interface(