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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Using a smaller, more stable model
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model = pipeline(
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"text-generation",
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model="bigcode/tiny_starcoder_py", # Very small model for CPU
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device="cpu"
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)
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def generate_code(prompt):
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try:
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response = model(
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f"# Python Question\n{prompt}\n# Answer\n",
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max_new_tokens=80,
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temperature=0.2,
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do_sample=False
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)
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return response[0]['generated_text'].split("# Answer\n")[-1]
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except Exception as e:
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return f"Error: {str(e)}"
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demo = gr.Interface(
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fn=generate_code,
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inputs=gr.Textbox(lines=2, placeholder="Ask about Python..."),
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outputs=gr.Code(language="python"),
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title="Stable Coding Assistant",
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allow_flagging="never"
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)
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demo.launch()
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