app.py

import gradio as gr
from transformers import pipeline

# Using a smaller, more stable model
model = pipeline(
    "text-generation",
    model="bigcode/tiny_starcoder_py",  # Very small model for CPU
    device="cpu"
)

def generate_code(prompt):
    try:
        response = model(
            f"# Python Question\n{prompt}\n# Answer\n",
            max_new_tokens=80,
            temperature=0.2,
            do_sample=False
        )
        return response[0]['generated_text'].split("# Answer\n")[-1]
    except Exception as e:
        return f"Error: {str(e)}"

demo = gr.Interface(
    fn=generate_code,
    inputs=gr.Textbox(lines=2, placeholder="Ask about Python..."),
    outputs=gr.Code(language="python"),
    title="Stable Coding Assistant",
    allow_flagging="never"
)

demo.launch()