Update app.py

app.py

@@ -49,8 +49,20 @@ def chatbot_response(user_message, history=[]):
         # If the user input is a question, use TAPEx for question-answering
         #inputs = user_query
         encoding = sql_tokenizer(table=table, query=user_message, return_tensors="pt")
-        outputs = sql_model.generate(**encoding)
-        response = sql_tokenizer.batch_decode(outputs, skip_special_tokens=True)
+        #outputs = sql_model.generate(**encoding)
+        #response = sql_tokenizer.batch_decode(outputs, skip_special_tokens=True)
+
+         # append the new user input tokens to the chat history
+        bot_input_ids = torch.cat([torch.LongTensor(history), **encoding], dim=-1)
+    
+        # generate a response
+        history = sql_model.generate(bot_input_ids, max_length=1000, pad_token_id=sql_tokenizer.eos_token_id).tolist()
+    
+        # convert the tokens to text, and then split the responses into the right format
+        response = sql_tokenizer.decode(history[0]).split("<|endoftext|>")
+        response = [(response[i], response[i + 1]) for i in range(0, len(response) - 1, 2)]  # convert to tuples of list
+        
+    
     else:
         # Generate chatbot response using the chatbot model
         '''