Spaces:
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use blocks api
Browse files
app.py
CHANGED
@@ -7,11 +7,11 @@ def generate_image_predictions(prompt):
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return images
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# π Map Diffuser
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π Generates images from a given text prompt. The prompts are in the format:
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@@ -34,10 +34,15 @@ iface = gr.Interface(
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| Watercolor style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/AQS34dk.png" width="300" /> |
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| Toner style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/X8VcezT.png" width="300" /> |
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| Satellite image with forests and residential, no water | <img src="https://i.imgur.com/MEccHdM.png" width="300" /> |
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"""
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return images
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demo = gr.Blocks()
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with demo:
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gr.Markdown(
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"""
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# π Map Diffuser
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π Generates images from a given text prompt. The prompts are in the format:
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| Watercolor style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/AQS34dk.png" width="300" /> |
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| Toner style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/X8VcezT.png" width="300" /> |
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| Satellite image with forests and residential, no water | <img src="https://i.imgur.com/MEccHdM.png" width="300" /> |
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"""
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)
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input = gr.components.Textbox(label="Enter a text prompt here")
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output = gr.components.Image(label="Output Image")
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# button to submit the prompt
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button = gr.components.Button(label="Generate")
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# when the button is clicked, call the generate_image_predictions function
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# and pass in the prompt as an argument
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button.submit(generate_image_predictions, inputs=input, outputs=output)
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demo.launch()
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