Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe = DiffusionPipeline.from_pretrained('runwayml/stable-diffusion-v1-5')
+
+def imagen(prompt):
+    return pipe(prompt).images[0]
+a = gr.Interface(fn=imagen, inputs=[gr.Textbox(label="Enter prompt for an image")],
+                 outputs=[gr.Image(label='Generated Image')],
+                 title='Image Generation Using Stable Diffusion', 
+                 examples=["the spirit of a tamagotchi wandering in the city of Vienna","a mecha robot in a favela"])
+a.launch()