Update app.py

app.py

@@ -1,85 +1,47 @@
 import gradio as gr
-from diffusers import StableDiffusionPipeline
-import torch
 import random
 
-# Initialize the text-to-image pipeline
-pipe = pipeline("text-to-image", model="stabilityai/stable-diffusion-v1-5")
-
-# Define the function to generate the landing page wireframe
-def generate_landing_page(prompt):
-    """Generates a landing page wireframe based on the user prompt."""
-
-    # Generate images (replace with actual wireframe generation if possible)
-    image_prompts = [
-        f"A wireframe illustration of a {prompt} landing page hero section.",
-        f"A wireframe illustration of a {prompt} landing page feature section.",
-        f"A wireframe illustration of a {prompt} landing page testimonial section.",
-        f"A wireframe illustration of a {prompt} landing page pricing section.",
-        f"A wireframe illustration of a {prompt} landing page call to action section.",
-        f"A wireframe illustration of a {prompt} landing page gallery section.",
-        f"A wireframe illustration of a {prompt} landing page team section.",
-        f"A wireframe illustration of a {prompt} landing page FAQ section.",
-        f"A wireframe illustration of a {prompt} landing page contact section.",
-        f"A wireframe illustration of a {prompt} landing page footer section.",
-    ]
-    images = pipe(image_prompts)["images"]
-
-    # Generate content
-    header = f"Your {prompt.capitalize()} Solution"
-    body_text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. " * 10
-
-    testimonials = [
-        "\"This is amazing!\" - John Doe",
-        "\"I love it!\" - Jane Smith",
-        "\"Best product ever!\" - David Lee",
-        "\"Highly recommended!\" - Sarah Jones",
-        "\"Changed my life!\" - Michael Brown",
-    ]
-
-    image_descriptions = [
-        "Hero section wireframe with a large title and call to action button.",
-        "Features section wireframe with icons and descriptions.",
-        "Testimonials section wireframe with user avatars and quotes.",
-        "Pricing section wireframe with different plan options.",
-        "Call to action section wireframe with a prominent button.",
-        "Gallery section wireframe with image placeholders.",
-        "Team section wireframe with team member profiles.",
-        "FAQ section wireframe with collapsible questions and answers.",
-        "Contact section wireframe with a form and contact information.",
-        "Footer section wireframe with links and copyright information.",
-    ]
-
-    # Generate colors
-    primary_color = f"#{random.randint(0, 0xFFFFFF):06x}"
-    secondary_color = f"#{random.randint(0, 0xFFFFFF):06x}"
-    text_color = "#333333"  # Dark gray for text
-    background_color = "#f4f4f4" # light gray for background
-    return header, body_text, images, testimonials, image_descriptions,primary_color,secondary_color,text_color,background_color
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=generate_landing_page,
-    inputs=gr.Textbox(lines=2, placeholder="Enter your landing page prompt here..."),
-    outputs=[
-        gr.Textbox(label="Header", elem_classes=["google-font-header"]),
-        gr.Textbox(label="Body Text", lines=10, elem_classes=["google-font-body"]),
-        gr.Gallery(label="Wireframe Images", show_label=True, columns=2),
-        gr.Textbox(label="Testimonials", lines=5),
-        gr.Textbox(label="Image Descriptions", lines=10),
-        gr.Textbox(label="Primary Color"),
-        gr.Textbox(label="Secondary Color"),
-        gr.Textbox(label="Text Color"),
-        gr.Textbox(label="Background Color")
+def generate_wireframe(prompt, header_font, body_font, primary_color, secondary_color):
+    wireframe = {
+        "title": prompt,
+        "fonts": {
+            "header": header_font,
+            "body": body_font
+        },
+        "colors": {
+            "primary": primary_color,
+            "secondary": secondary_color
+        },
+        "content": {
+            "header": f"{prompt} - A Landing Page",
+            "paragraphs": [f"This is paragraph {i+1} of content for {prompt}." for i in range(10)],
+            "testimonials": [
+                {"name": f"User {i+1}", "review": f"This is a testimonial {i+1} for {prompt}."}
+                for i in range(5)
+            ],
+            "images": [
+                {"description": f"Description for image {i+1} related to {prompt}."}
+                for i in range(10)
+            ]
+        }
+    }
+    return wireframe
+
+header_font_choices = ["Roboto", "Lato", "Montserrat", "Poppins", "Open Sans"]
+body_font_choices = ["Roboto", "Lato", "Montserrat", "Poppins", "Open Sans"]
+
+demo = gr.Interface(
+    fn=generate_wireframe,
+    inputs=[
+        gr.Textbox(label="Landing Page Prompt"),
+        gr.Dropdown(header_font_choices, label="Header Font"),
+        gr.Dropdown(body_font_choices, label="Body Font"),
+        gr.ColorPicker(label="Primary Color"),
+        gr.ColorPicker(label="Secondary Color")
     ],
+    outputs=gr.JSON(),
     title="Landing Page Wireframe Generator",
-    description="Enter a prompt to generate a landing page wireframe and content.",
-    css="""
-    @import url('https://fonts.googleapis.com/css2?family=Roboto+Slab&family=Roboto:wght@400;700&display=swap');
-    .google-font-header { font-family: 'Roboto Slab', serif; font-size: 2em; }
-    .google-font-body { font-family: 'Roboto', sans-serif; font-size: 1em; }
-    """,
+    description="Generate a structured wireframe for a landing page based on a user prompt."
 )
 
-# Launch the Gradio app
-iface.launch()
+demo.launch()