Update app.py

app.py

@@ -24,7 +24,10 @@ from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
 translation_model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
 translation_tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
 
-languages_list = ["gu_IN", "hi_IN" ,"bn_IN", "ml_IN", "mr_IN", "ta_IN", "te_IN"]
+languages_list = [("Gujarati", "gu_IN"), ('Hindi',"hi_IN") , ("Bengali","bn_IN"), ("Malayalam","ml_IN"), 
+                  ("Marathi","mr_IN"), ("Tamil","ta_IN"), ("Telugu","te_IN")]
+
+
 
 def english_to_indian(sentence):
     translation_tokenizer.src_lang = "en_xx"
@@ -39,6 +42,8 @@ def indian_to_english(sentence):
     generated_tokens = translation_model.generate(**encoded_hi, forced_bos_token_id=translation_tokenizer.lang_code_to_id["en_XX"] )
     return (translation_tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
 
+def intitalize_lang(language):
+    
 
 llm_model = "mistralai/Mistral-7B-Instruct-v0.2"
 
@@ -268,7 +273,9 @@ def demo():
             qachain_btn = gr.Button("Initialize question-answering chain...")
 
         with gr.Row():
-            lang_btn = gr.Radio(languages_list, label="Languages", value = list_llm_simple[1], type="index", info="Choose your language")
+            lang_btn = gr.Dropdown(languages_list, label="Languages", value = languages_list[1],
+                                type="value", info="Choose your language",interactive = True)
+        #lang_btn.select(intitalize_lang, inputs)
         
         chatbot = gr.Chatbot(height=300)