Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from diffusers import DiffusionPipeline
+
+# Load the pretrained model
+pipeline = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo")
+
+# Define a function to use the model for prediction
+def predict(text_input):
+    # Use the pipeline to make predictions
+    output = pipeline(text_input)
+    return output
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=5, label="Input Text"),
+    outputs="text",
+    title="Diffusion Pipeline App",
+    description="Enter the text to get the model's predictions on the input."
+)
+
+# Launch the Gradio interface
+iface.launch()