Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Set up model
+pipe = StableDiffusionPipeline.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    torch_dtype=torch.float16
+).to("cuda")
+
+def generate(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Create Gradio interface
+gr.Interface(fn=generate, inputs="text", outputs="image").launch()