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| import gradio as gr | |
| from inference_code import generate_images | |
| def generate_image_predictions(prompt): | |
| images = generate_images(prompt) | |
| return images | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown( | |
| """ | |
| # 🌍 Map Diffuser | |
| 🌏 Generates images from a given text prompt. The prompts are in the format: | |
| `{style} map of {city} with {features}` or | |
| `satellite image of {city} with {features}` or | |
| `satellite image with {features}` or | |
| `satellite image of {city} with {features} and no {features}` | |
| and so on... | |
| So for example: | |
| - "Satellite image of amsterdam with industrial area and highways" | |
| - "Watercolor style map of Amsterdam with residential area and highways" | |
| - "Toner style map of Amsterdam with residential area and highways" | |
| - "Satellite image with forests and residential, no water" | |
| Examples table: | |
| | Prompt | Output | | |
| | --- | --- | | |
| | Satellite image of amsterdam with industrial area and highways | <img src="https://i.imgur.com/vrGpk45.png" width="300" /> | | |
| | Watercolor style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/AQS34dk.png" width="300" /> | | |
| | Toner style map of Amsterdam with residential area and highways | <img src="https://i.imgur.com/X8VcezT.png" width="300" /> | | |
| | Satellite image with forests and residential, no water | <img src="https://i.imgur.com/MEccHdM.png" width="300" /> | | |
| """ | |
| ) | |
| input = gr.components.Textbox(label="Enter a text prompt here") | |
| output = gr.components.Image(label="Output Image") | |
| # button to submit the prompt | |
| button = gr.components.Button(label="Generate") | |
| # when the button is clicked, call the generate_image_predictions function | |
| # and pass in the prompt as an argument | |
| button.submit(generate_image_predictions, inputs=input, outputs=output) | |
| demo.launch() | |