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)