Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the text-to-image pipeline from Hugging Face
+generator = pipeline('text-to-image', model="CompVis/stable-diffusion-v1-4")
+
+def generate_image(description):
+    # Generate the image based on the description
+    image = generator(description)
+    return image[0]['image']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs="text",
+    outputs="image",
+    title="Image Generator from Description",
+    description="Enter a text description and generate an image based on it."
+)
+
+# Launch the Gradio interface
+if __name__ == "__main__":
+    interface.launch()