Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model for image generation
+generator = pipeline('text-to-image', model='CompVis/stable-diffusion-v1-4', device=0)  # Use your model here
+
+def generate_image(description):
+    # Generate image from description
+    image = generator(description)[0]
+    return image
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs="text",
+    outputs="image",
+    live=True,
+    description="Enter a description to generate an image (e.g., 'A boy holding a bag')"
+)
+
+# Launch the interface
+iface.launch()