Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+
+# Load the SHAP-E diffusion pipeline
+pipe = DiffusionPipeline.from_pretrained("openai/shap-e")
+
+def generate_image(prompt):
+    # Generate the image from the prompt
+    image = pipe(prompt).images[0]
+    return image
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g. Astronaut in a jungle"),
+    outputs=gr.Image(label="Generated Image"),
+    title="SHAP-E Image Generator",
+    description="Generate images using the SHAP-E diffusion model based on your prompts."
+)
+
+if __name__ == "__main__":
+    iface.launch()