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import streamlit as st
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the model and tokenizer
@st.cache_resource
def load_model():
model_name = "shanthi-323/model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
return tokenizer, model
tokenizer, model = load_model()
st.title("AI Chatbot")
st.write("Chat with your fine-tuned model!")
# User input
user_input = st.text_input("You: ", placeholder="Type your message here...")
if user_input:
inputs = tokenizer(user_input, return_tensors="pt")
outputs = model.generate(inputs["input_ids"], max_length=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
st.text_area("Bot:", value=response, height=200, max_chars=None)
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