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import streamlit as st | |
from transformers import AutoModelForCausalLM, AutoTokenizer | |
model_name = "deepseek-ai/DeepSeek-V3-Base" | |
tokenizer = AutoTokenizer.from_pretrained(model_name) | |
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, quantization_config=None) | |
st.title("DeepSeek Chatbot") | |
prompt = st.text_input("Enter your message:") | |
if prompt: | |
inputs = tokenizer.encode(prompt, return_tensors="pt") | |
outputs = model.generate(inputs) | |
response = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
st.write(response) | |