Updated

app.py

@@ -21,7 +21,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 # Function to generate a response from the model
 def generate_response(human_text):
     inputs = tokenizer.encode(human_text, return_tensors='pt')
-    outputs = model.generate(inputs, max_new_tokens=200, max_length=50, num_beams=5, early_stopping=True)
+    outputs = model.generate(inputs, max_new_tokens=200, max_length=200, num_beams=5, early_stopping=True)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response