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Update app.py
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app.py
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import requests
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import gradio as gr
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def generate_image(prompt, size):
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headers = {
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"size": size,
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"num_images": 1,
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}
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response = requests.post("https://
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return
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# Create the interface using Gradio
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with gr.Blocks() as demo:
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with gr.Row():
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size_input = gr.Dropdown(label="Size", choices=["1792x1024", "1024x1024", "1024x1792"], value="1024x1024")
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with gr.Row():
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prompt_input = gr.Textbox(label="Image Description", value="
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submit_btn = gr.Button("Generate Image", variant='primary')
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image_output = gr.Image(label="Generated Image")
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submit_btn.click(fn=generate_image, inputs=[prompt_input, size_input], outputs=image_output)
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demo.launch()
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import requests
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import gradio as gr
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from PIL import Image
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from io import BytesIO
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def generate_image(prompt, size):
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headers = {
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"size": size,
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"num_images": 1,
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}
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response = requests.post("https://sdcf.dongsiqie.me", headers=headers, json=data)
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# Get image content from the response
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image_content = BytesIO(response.content)
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image = Image.open(image_content)
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# Save image to a file or return it in a suitable format for your context.
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# For this example, I'm going to return the image directly.
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return image
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# Create the interface using Gradio
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with gr.Blocks() as demo:
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with gr.Row():
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size_input = gr.Dropdown(label="Size", choices=["1792x1024", "1024x1024", "1024x1792"], value="1024x1024")
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with gr.Row():
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prompt_input = gr.Textbox(label="Image Description", value="A futuristic cyberpunk-style puppy, neon-lit cityscape background, glowing eyes, mechanized body parts, dynamic pose, vibrant colors, nighttime vibe, sharp focus, digital art.")
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submit_btn = gr.Button("Generate Image", variant='primary')
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image_output = gr.Image(label="Generated Image")
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submit_btn.click(fn=generate_image, inputs=[prompt_input, size_input], outputs=image_output)
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demo.launch()
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