Create app.py

app.py

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+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load the fine-tuned model
+model_name = "./tuned_model"  # Load from Hugging Face or locally
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Set up Streamlit UI
+st.title("AI Coding Mentor")
+st.write("Ask me any programming-related question!")
+
+# User input (question)
+question = st.text_input("Enter your coding question:")
+
+if question:
+    # Prepare the input for the model
+    input_text = f"### Question:\n{question}\n### Answer:"
+    inputs = tokenizer(input_text, return_tensors="pt")
+
+    # Generate the answer using the fine-tuned model
+    output = model.generate(**inputs, max_length=200, num_return_sequences=1)
+
+    # Decode the output
+    answer = tokenizer.decode(output[0], skip_special_tokens=True)
+
+    # Display the result
+    st.write(answer)