Update app.py
Browse files
app.py
CHANGED
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@@ -1,29 +1,25 @@
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import gradio as gr
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import torch
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from diffusers import
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#
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model_id = "stabilityai/stable-diffusion-
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pipe =
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model_id,
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torch_dtype=torch.float16
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safety_checker=None # Disable safety checker for hackathon demo
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)
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pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
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#
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def generate_outfit(weather, activity, style):
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try:
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# Build prompt
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prompt = (
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f"A realistic full-body outfit for {weather} weather, "
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f"{activity} activity, {style} style, front view,
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)
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# SDXL generates output as a list of PIL images
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result = pipe(prompt, guidance_scale=7.5)
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image = result.images[0] #
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# Outfit suggestion
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suggestion_text = (
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f"💡 Suggested outfit for {weather} weather, {activity} activity, {style} style:\n"
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"- Top: light breathable shirt or jacket depending on weather\n"
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@@ -32,11 +28,10 @@ def generate_outfit(weather, activity, style):
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"- Accessories: hat, sunglasses, or scarf depending on weather"
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)
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return image, suggestion_text
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except Exception as e:
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return None, f"❌ Error generating outfit: {str(e)}"
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# Gradio
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custom_css = """
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body {background: linear-gradient(135deg, #232526, #414345); color: white; font-family: 'Poppins', sans-serif;}
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.gradio-container {max-width: 900px !important; margin: auto;}
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@@ -47,8 +42,8 @@ h1,h2,h3 {text-align:center; color:#fff;}
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"""
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with gr.Blocks(css=custom_css) as app:
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gr.Markdown("<h1 style='text-align:center;'>👗 ClothCast - AI Outfit Forecaster</h1>")
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gr.Markdown("<p style='text-align:center;'>Select your weather, activity, and style to generate an AI outfit!</p>")
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with gr.Row():
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with gr.Column(scale=1):
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@@ -78,3 +73,4 @@ with gr.Blocks(css=custom_css) as app:
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app.launch(share=True)
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import gradio as gr
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import torch
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from diffusers import StableDiffusionPipeline
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# RAPIDE: Utilisation d'un modèle plus léger pour la génération rapide
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model_id = "stabilityai/stable-diffusion-2-1-base"
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pipe = StableDiffusionPipeline.from_pretrained(
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model_id,
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torch_dtype=torch.float16
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)
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pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
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# Fonction pour générer l'image + suggestion
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def generate_outfit(weather, activity, style):
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try:
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prompt = (
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f"A realistic full-body outfit for {weather} weather, "
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f"{activity} activity, {style} style, front view, full body, fashion style"
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)
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result = pipe(prompt, guidance_scale=7.5)
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image = result.images[0] # Toujours prendre la première image
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suggestion_text = (
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f"💡 Suggested outfit for {weather} weather, {activity} activity, {style} style:\n"
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"- Top: light breathable shirt or jacket depending on weather\n"
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"- Accessories: hat, sunglasses, or scarf depending on weather"
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)
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return image, suggestion_text
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except Exception as e:
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return None, f"❌ Error generating outfit: {str(e)}"
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# UI Gradio
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custom_css = """
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body {background: linear-gradient(135deg, #232526, #414345); color: white; font-family: 'Poppins', sans-serif;}
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.gradio-container {max-width: 900px !important; margin: auto;}
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"""
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with gr.Blocks(css=custom_css) as app:
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gr.Markdown("<h1 style='text-align:center;'>👗 ClothCast - AI Outfit Forecaster (Fast)</h1>")
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gr.Markdown("<p style='text-align:center;'>Select your weather, activity, and style to generate an AI outfit quickly!</p>")
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with gr.Row():
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with gr.Column(scale=1):
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app.launch(share=True)
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