app.py

import streamlit as st
from transformers import AutoModelForCausalLM, AutoTokenizer

#model_name = "deepseek-ai/DeepSeek-R1"
#tokenizer = AutoTokenizer.from_pretrained(model_name)
#model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True,quantization_config=None)

model_id = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

st.title("DeepSeek Chatbot")

prompt = st.text_input("Enter your message:")

if st.button("Run"):
    messages =[]
    messages.append({"role": "user", "content": prompt})
     response= model.chat.completions.create(
        model="deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
        messages=messages,
        temperature=0.6,
        max_tokens=1024,
        top_p=0.95
    )
    st.text_area("Long Text Box", response, height=1000)