Update app.py

app.py

@@ -1,30 +1,29 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer    
-import gradio as gr    
-import torch    
+from transformers import AutoModelForCausalLM, AutoTokenizer      
+import gradio as gr      
+import torch      
+    
+tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")    
+tokenizer.padding_side = 'left'      
+model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")     
+    
+class ChatBot:      
+    def __init__(self):      
+        self.history = []      
+    
+    def predict(self, input):            
+        new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors="pt")            
+        flat_history = [item for sublist in self.history for item in sublist]       
+        flat_history_tensor = torch.tensor(flat_history).unsqueeze(dim=0)  # convert list to 2-D tensor    
+        bot_input_ids = torch.cat([flat_history_tensor, new_user_input_ids], dim=-1) if self.history else new_user_input_ids            
+        chat_history_ids = model.generate(bot_input_ids, max_length=2000, pad_token_id=tokenizer.eos_token_id)            
+        self.history.append(chat_history_ids[:, bot_input_ids.shape[-1]:].tolist()[0])            
+        response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)     
+        return response      
   
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")  
-tokenizer.padding_side = 'left'    
-model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")   
-  
-class ChatBot:    
-    def __init__(self):    
-        self.history = []    
-  
-    def predict(self, input):          
-        new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors="pt")          
-        flat_history = [item for sublist in self.history for item in sublist]     
-        flat_history_tensor = torch.tensor(flat_history).unsqueeze(dim=0)  # convert list to 2-D tensor  
-        bot_input_ids = torch.cat([flat_history_tensor, new_user_input_ids], dim=-1) if self.history else new_user_input_ids          
-        chat_history_ids = model.generate(bot_input_ids, max_length=2000, pad_token_id=tokenizer.eos_token_id)          
-        self.history.append(chat_history_ids[:, bot_input_ids.shape[-1]:].tolist()[0])          
-        response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)          
-    return response    
-
-  
-bot = ChatBot()    
+bot = ChatBot() 
   
 title = "👋🏻Welcome to Tonic's EZ Chat🚀"    
-description = "You can use this Space to test out the current model (DialoGPT-medium) or duplicate this Space and use it for any other model on 🤗HuggingFace."    
+description = "You can use this Space to test out the current model (DialoGPT-medium) or duplicate this Space and use it for any other model on 🤗HuggingFace. Join me on [Discord](https://discord.gg/fpEPNZGsbt) to build together."    
 examples = [["How are you?"]]    
   
 iface = gr.Interface(