Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+
+# Load the model and LoRA weights
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
+pipe.load_lora_weights("SvenN/sdxl-emoji")
+
+# Function to generate image
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Stable Diffusion XL Emoji Generator")
+
+    prompt = gr.Textbox(label="Enter prompt", placeholder="<s0><s1>", value="<s0><s1>")
+    image_output = gr.Image(label="Generated Image")
+
+    generate_button = gr.Button("Generate")
+
+    generate_button.click(fn=generate_image, inputs=prompt, outputs=image_output)
+
+# Launch the app
+demo.launch()