Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import os 
+import os
 os.system('pip install transformers torch')
 from transformers import GPT2LMHeadModel, GPT2Tokenizer
 
@@ -8,16 +8,27 @@ model_name = "microsoft/DialoGPT-small"
 model = GPT2LMHeadModel.from_pretrained(model_name)
 tokenizer = GPT2Tokenizer.from_pretrained(model_name)
 
+# Initial system prompt and chat history
+system_prompt = "You are a helpful assistant."
+chat_history = system_prompt
+
 def generate_response(prompt, max_length=50, temperature=0.8):
-    input_ids = tokenizer.encode(prompt, return_tensors="pt")
+    global chat_history
+    input_text = chat_history + " User: " + prompt
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
     output_ids = model.generate(input_ids, max_length=max_length, temperature=temperature, num_return_sequences=1)
     response = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    
+    # Update chat history
+    chat_history += f" User: {prompt} Assistant: {response}"
+    
     return response
 
 iface = gr.Interface(
     fn=generate_response,
     inputs=gr.Textbox(),
-    outputs="text"
+    outputs="text",
+    live=True
 )
 
 iface.launch()