app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from diffusers import StableDiffusionPipeline
+
+# Load the Stable Diffusion model
+model = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+
+def generate_image(prompt):
+    # Generate an image based on the prompt
+    image = model(prompt).images[0]
+    return image
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs="text",
+    outputs="image",
+    title="AI Image Generator",
+    description="Enter a prompt to generate an image using Stable Diffusion."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()