Update app.py

app.py

@@ -21,8 +21,9 @@ if choice == "Meal Suggester":
     
     pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")
 
-    user_input = st.input("insert text here", )
-    st.write(user_input)
+    user_input = st.chat_input("Say something")
+    if user_input:
+        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 = [
@@ -30,7 +31,7 @@ if choice == "Meal Suggester":
             "role": "system",
             "content": "You are a friendly chatbot who always responds in the style of a pirate",
         },
-        {"role": "user", "content": "How many Ships can a human eat in one sitting?"},
+        {"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)