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Update app.py
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app.py
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from transformers import pipeline
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import gradio as gr
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def generate_website_code(prompt):
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full_prompt = f"
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result = generator(full_prompt, max_new_tokens=1024)[0]["generated_text"]
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return result
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from transformers import pipeline
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import gradio as gr
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# Load code generation model (switch to GPU if possible in settings)
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generator = pipeline("text-generation", model="deepseek-ai/deepseek-coder-6.7b-instruct")
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# Function to generate website code from user prompt
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def generate_website_code(prompt):
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full_prompt = f"""You are a senior web developer. Based on the following instructions, generate a full HTML5 website including CSS and JavaScript inside <style> and <script> tags.
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Instructions:
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{prompt}
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Return only the complete code inside <html>...</html> tags, ready to save as an .html file.
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"""
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output = generator(full_prompt, max_new_tokens=2048, temperature=0.7)[0]["generated_text"]
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# Extract only the part starting with <html> to avoid model's intro text
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html_start = output.find("<html")
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if html_start != -1:
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return output[html_start:]
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return output
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# Gradio UI
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iface = gr.Interface(
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fn=generate_website_code,
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inputs=gr.Textbox(lines=8, label="Describe your website (Prompt)"),
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outputs=gr.Code(label="Generated HTML Website Code"),
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title="AI Website Generator",
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description="Enter a prompt describing your website. Example: 'Create a modern cafe website using beige and brown colors. The brand is BrewNest. Include food items, transitions, and animations.'",
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)
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iface.launch()
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