adding app

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
+
+pipeline = DiffusionPipeline.from_pretrained("uripper/GIANNIS", revision="ONNX")
+pipeline.to("cuda")
+im = pipeline(height=1,width=1,num_channels=1, num_inference_steps=1).images[0]
+im.show()
+# When a user clicks button, pipeline will generate an image
+
+# def pipeline_interface():
+#     pipeline.to("cuda")
+#     return pipeline("height=100,width=100").images[0]
+
+# iface = gr.Interface(fn=pipeline_interface, inputs=[], outputs="image")
+
+# iface.launch()