app.py

import gradio as gr
from transformers import pipeline

generator = pipeline(
    "text-generation",
    model="deepseek-ai/deepseek-coder-1.3b-instruct",
    device_map="auto".
    clean_up_tokenization_spaces=True
)

SYSTEM_PROMPT = """
You are a senior Python engineer.

When answering:
- Return clean Python code
- Follow best practices
- Keep functions simple
- Add comments if useful
- Avoid unnecessary explanations
"""

def chat(message, history):

    prompt = SYSTEM_PROMPT + "\nUser: " + message + "\nAssistant:"

    result = generator(
        prompt,
        max_new_tokens=200,
        temperature=0.2
    )

    output = result[0]["generated_text"]

    # Clean tokenizer artifacts
    output = output.replace("Ċ", "\n").replace("Ġ", " ")

    code = output.split("Assistant:")[-1]

    return f"```python\n{code}\n```"


demo = gr.ChatInterface(
    fn=chat,
    title="Python Coding Assistant",
    description="Ask Python coding questions"
)

demo.launch()