Update app.py

app.py

@@ -19,7 +19,7 @@ model.load_state_dict(torch.load("Conv_GPT.pth", map_location=torch.device('cpu'
 model.eval()
 
 # Define generation function
-def generate_text(prompt, max_new_tokens=50):
+def generate_text(prompt, max_new_tokens=30):
     input_ids = tokenizer.encode(prompt, return_tensors='pt')
     # Ensure input sequence length does not exceed 512 (model's max_seq_len)
     if input_ids.size(1) > 512:
@@ -51,7 +51,7 @@ interface = gr.ChatInterface(
                    GPT architecture, this model is trained on the DailyDialog dataset to
                    provide conversational responses.""",
     theme="default",
-    examples=["Hi, how are you?", "What's your favorite food?", "Tell me about your day."]
+    examples=["Hi, how are you?", "Tell me a fun fact?"]
 )