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| import gradio as gr | |
| from transformers import pipeline | |
| # Load a code-friendly model | |
| generator = pipeline("text-generation", model="codeparrot/codeparrot-small") | |
| def code_helper(prompt): | |
| output = generator(prompt, max_length=200, do_sample=True, temperature=0.8) | |
| return output[0]["generated_text"] | |
| iface = gr.Interface( | |
| fn=code_helper, | |
| inputs=gr.Textbox(lines=8, placeholder="Ask me to generate, debug, or explain code..."), | |
| outputs="text", | |
| title="AI Coding Assistant", | |
| description="An AI assistant that helps generate, debug, and explain code in Python, C++, JS, and more." | |
| ) | |
| iface.launch() | |