Update app.py

app.py

@@ -26,17 +26,17 @@ if choice == "Meal Suggester":
         st.write(f"you have said {user_input}")
     
     # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
-    messages = [
-        {
-            "role": "system",
-            "content": "You are a friendly chatbot who always responds in the style of a pirate",
-        },
-        {"role": "user", "content": f"{user_input}"},
-    ]
-    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-    st.write(outputs[0]["generated_text"])
-    # <|system|>
+        messages = [
+            {
+                "role": "system",
+                "content": "You are a friendly chatbot who always responds in the style of a pirate",
+            },
+            {"role": "user", "content": f"{user_input}"},
+        ]
+        prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+        outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+        st.write(outputs[0]["generated_text"])
+        # <|system|>
     # You are a friendly chatbot who always responds in the style of a pirate.</s>
     # <|user|>
     # How many helicopters can a human eat in one sitting?</s>