Initial

app.py

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+import gradio as gr
+import torch 
+
+is_cuda = torch.cuda.is_available()
+def greet(name):
+    if is_cuda:
+        return "Hello cuda" + name + "!!"
+    else:
+        return "Hello ooops" + name + "!!"
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

requirements.txt

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+git+https://github.com/CompVis/taming-transformers
+ftfy 
+regex 
+tqdm 
+omegaconf 
+pytorch-lightning
+torch-fidelity
+transformers   
+einops
+gradio
+torch
+torchvision
+Pillow
+numpy
+imageio