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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 AutoModelForCausalLM, AutoTokenizer
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import torch
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# Load the Phi-3.5-mini-instruct model and tokenizer
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model_name = "phi-3.5-mini-instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Simple HTML template for the website
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simple_website_template = """
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Personalized Website</title>
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<style>
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body {{
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font-family: Arial, sans-serif;
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background-color: #f4f4f4;
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color: #333;
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padding: 20px;
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}}
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h1 {{
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color: {title_color};
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}}
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p {{
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font-size: {font_size}px;
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}}
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</style>
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</head>
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<body>
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<h1>{title}</h1>
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<p>{content}</p>
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</body>
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</html>
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"""
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# Function to generate personalized content using Phi-3.5-mini-instruct
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def personalize_website_llm(persona_text):
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# Create a prompt for the model
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prompt = f"Generate personalized website content for the following persona: {persona_text}. Provide a title and main content."
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# Tokenize and generate output
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(inputs.input_ids, max_length=150)
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generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Split the response into a title and content
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title, content = generated_text.split('\n', 1)
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# Set the title color and font size based on simple heuristics
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title_color = "#333"
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font_size = 16
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if "young" in persona_text.lower():
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title_color = "#ff5733"
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font_size = 18
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if "professional" in persona_text.lower():
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title_color = "#1c1c1c"
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font_size = 14
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# Create the personalized website HTML
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personalized_website = simple_website_template.format(
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title_color=title_color,
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font_size=font_size,
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title=title.strip(),
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content=content.strip()
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)
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return personalized_website
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# Create the Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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gr.HTML('<h3>Original Simple Website</h3>')
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gr.HTML(simple_website_template.format(title_color="#333", font_size=16, title="Welcome to Our Website!", content="We are glad to have you here."))
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with gr.Column():
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persona_input = gr.Textbox(label="Define Persona", placeholder="Describe the persona here...")
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generate_button = gr.Button("Generate Personalized Website")
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with gr.Column():
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personalized_output = gr.HTML(label="Personalized Website Output")
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generate_button.click(personalize_website_llm, inputs=persona_input, outputs=personalized_output)
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# Launch the app
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demo.launch()
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