Update app.py

app.py

@@ -1,9 +1,8 @@
 import streamlit as st
 from transformers import pipeline
-import torch
 
 # Load TinyLlama chatbot pipeline
-pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype="float32", device_map="auto")
 
 # Streamlit app header
 st.set_page_config(page_title="Chatbot Demo", page_icon="🤖")
@@ -14,10 +13,12 @@ user_message = st.text_input("You:", "")
 
 if st.button("Send"):
     # Use TinyLlama chatbot pipeline to generate a response
-    messages = [{"role": "system", "content": "You are a friendly chatbot who always responds in the style of a Doctor"},
+    messages = [{"role": "system", "content": "You are a friendly chatbot who always responds in the style of a pirate"},
                 {"role": "user", "content": user_message}]
     prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-    response = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)[0]["generated_text"]
+    
+    # Generate response using TinyLlama
+    response = pipe(prompt, max_length=256, temperature=0.7, top_k=50, top_p=0.95)[0]["generated_text"]
 
     # Display the model's response
     st.text_area("Model Response:", response, height=100)