Update app.py

app.py

@@ -162,39 +162,8 @@ def sqlquery(input): #, history=[]):
         for response in enumerate(responses):
             # Update conversation history            
             conversation_history.append("Bot: " + response)
-     '''       
-        '''
-        
-        = []
-        
-        for idx, record in enumerate(batch_data):
-            # Maintain conversation context by appending history
-            if conversation_history:
-                history = "\n".join(conversation_history)
-                input_text = history + "\nUser: " + record["question"]
-            else:
-                input_text = "User: " + record["question"]
-            
-            # Tokenize the input text
-            tokenized_input = sql_tokenizer.encode(input_text, return_tensors="pt")
-            
-            # Perform inference
-            with torch.no_grad():
-                output = sql_model.generate(
-                    input_ids=tokenized_input,
-                    max_length=1024,
-                    pad_token_id=sql_tokenizer.eos_token_id,
-                )
-            
-            # Decode the output and process the response
-            response = sql_tokenizer.decode(output[0], skip_special_tokens=True)
-            batch_responses.append(response)
-
-             # Update conversation history
-            conversation_history.append("User: " + record["question"])
-            conversation_history.append("Bot: " + response)
-        '''
-            
+    '''       
+       
     # ==========================================================================
     
     inputs = [input]