Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+@st.cache_resource
+def load_model():
+    model_name = "shanthi-323/lora_model_qnachatbot_cbt_q4_k_m"
+    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)