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Create app.py
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app.py
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import gradio as gr
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import requests
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from PIL import Image
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from io import BytesIO
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# Define style tokens or modifiers
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styles = {
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"None": " ",
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"Hyper-Realistic": " hyper-realistic",
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"Realistic": " realistic",
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"Flux": " flux",
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"Abstract": " abstract",
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"Cartoon": " cartoon",
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"Ghibli": " ghibli style",
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"Anime": " anime style",
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"Watercolor": " watercolor painting",
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"Pixel Art": " pixel art",
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"Sketch": " sketch",
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"Digital Art": " digital art",
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"Oil Painting": " oil painting",
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"Pastel": " pastel painting",
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"Photorealistic": " photorealistic",
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"Sci-Fi": " sci-fi",
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"Fantasy": " fantasy",
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}
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def generate_image(prompt, style):
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# Append the style token to the prompt
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style_token = styles.get(style, "")
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full_prompt = prompt + style_token
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# Set image parameters
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width = 1024
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height = 1024
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seed = 42
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model = "flux" # You can adjust the model if needed
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# Construct the URL for pollinations.ai
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image_url = f"https://pollinations.ai/p/{full_prompt}?width={width}&height={height}&seed={seed}&model={model}"
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# Download the image using requests
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response = requests.get(image_url)
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if response.status_code == 200:
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image = Image.open(BytesIO(response.content))
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return image
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else:
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return None
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def crop_watermark(pil_img):
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"""
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Crop the image from the bottom to remove the watermark.
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This function assumes the generated image is 1024x1024,
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and crops it to a height of 960 pixels (removing the bottom 64 pixels).
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"""
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width, height = pil_img.size # Should be 1024 x 1024
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# Crop from the top left (0,0) to (width, 960)
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cropped_img = pil_img.crop((0, 0, width, 960))
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return cropped_img
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# Gradio interface function
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def interface(prompt, style):
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image = generate_image(prompt, style)
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if image is None:
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return "Error generating image."
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# Crop out the bottom portion with the watermark
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image_cropped = crop_watermark(image)
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return image_cropped
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# Define style options for the radio buttons
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style_options = list(styles.keys())
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# Build Gradio interface using Blocks
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with gr.Blocks() as demo:
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gr.Markdown("## Canvasio: AI Image Generator")
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with gr.Row():
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prompt_input = gr.Textbox(label="Enter your prompt", placeholder="A beautiful landscape")
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with gr.Row():
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style_choice = gr.Radio(choices=style_options, label="Select image style", value="Flux")
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generate_btn = gr.Button("Generate Image")
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output_image = gr.Image(label="Generated Image")
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generate_btn.click(fn=interface, inputs=[prompt_input, style_choice], outputs=output_image)
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demo.launch()
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