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import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
st.set_page_config(page_title="TinyLlama Chatbot")
@st.cache_resource
def load_model():
model_name = "TinyLlama/TinyLlama-1.1B-chat-v1.0"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
model.eval()
return tokenizer, model
st.title("Turbo Chatbot♑")
user_input = st.text_input("Ask a question")
if user_input:
with st.spinner("Generating response..."):
tokenizer, model = load_model()
prompt = f"""<|system|>
You are a helpful AI assistant.
<|user|>
{user_input}
<|assistant|>
"""
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
with torch.no_grad():
output = model.generate(
input_ids,
max_new_tokens=120,
temperature=0.6,
top_p=0.9,
do_sample=True,
pad_token_id=tokenizer.eos_token_id
)
decoded = tokenizer.decode(output[0], skip_special_tokens=True)
response = decoded.split("<|assistant|>")[-1].strip()
st.subheader("Response")
st.write(response)
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