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caecd73
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a496030
Update app.py
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app.py
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@@ -2,67 +2,6 @@ import gradio as gr
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import os
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import requests
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SYSTEM_PROMPT = "As an LLM, your job is to generate detailed prompts that start with generate the image, for image generation models based on user input. Be descriptive and specific, but also make sure your prompts are clear and concise."
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TITLE = "Image Prompter"
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EXAMPLE_INPUT = "A Reflective cat between stars."
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# Path to your local image file
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enticing_image_path = "C:/Users/alain/Downloads/enticing_image.jpg"
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html_temp = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<style>
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body {{
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font-family: Arial, sans-serif;
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}}
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.container {{
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text-align: center;
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background-color: #f4f4f4;
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padding: 20px;
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border-radius: 10px;
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}}
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h1 {{
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color: #333;
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}}
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.enticing-image {{
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width: 100px;
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height: 100px;
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border-radius: 50%;
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position: absolute;
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top: 0;
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right: 0;
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}}
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.main-image {{
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width: 300px;
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height: 300px;
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border-radius: 50%;
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}}
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p {{
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font-size: 18px;
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color: #555;
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}}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>{TITLE}</h1>
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<div class="enticing-image">
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<img src='{enticing_image_path}' alt='Enticing Image'>
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</div>
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<img class="main-image" src='https://huggingface.co/spaces/NerdN/open-gpt-Image-Prompter/blob/main/_45a03b4d-ea0f-4b81-873d-ff6b10461d52.jpg' alt='Your Image'>
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<p>{EXAMPLE_INPUT}</p>
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</div>
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</body>
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</html>
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""".format(TITLE, enticing_image_path, EXAMPLE_INPUT)
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zephyr_7b_beta = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta/"
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HF_TOKEN = os.getenv("HF_TOKEN")
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import os
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import requests
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zephyr_7b_beta = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta/"
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HF_TOKEN = os.getenv("HF_TOKEN")
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