Satyam-Singh commited on
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1b862a6
1 Parent(s): cbe6fbe

Create app.py

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  1. app.py +183 -0
app.py ADDED
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+ import gradio as gr
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+ import requests
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+ import io
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+ import random
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+ import os
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+ from PIL import Image
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+
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+ API_URL = "https://api-inference.huggingface.co/models/Satyam-Singh/LLaVa-Imagine"
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+ API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
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+ headers = {"Authorization": f"Bearer {API_TOKEN}"}
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+
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+ def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
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+ payload = {
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+ "inputs": prompt,
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+ "is_negative": is_negative,
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+ "steps": steps,
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+ "cfg_scale": cfg_scale,
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+ "seed": seed if seed is not None else random.randint(-1, 2147483647)
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+ }
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+
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+ image_bytes = requests.post(API_URL, headers=headers, json=payload).content
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+ image = Image.open(io.BytesIO(image_bytes))
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+ return image
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+
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+
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+ css = """
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+ .gradio-container {
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+ font-family: 'IBM Plex Sans', sans-serif;
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+ }
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+ .gr-button {
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+ color: white;
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+ border-color: black;
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+ background: black;
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+ }
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+ input[type='range'] {
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+ accent-color: black;
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+ }
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+ .dark input[type='range'] {
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+ accent-color: #dfdfdf;
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+ }
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+ .gradio-container {
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+ max-width: 730px !important;
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+ margin: auto;
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+ padding-top: 1.5rem;
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+ }
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+ #gallery {
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+ min-height: 22rem;
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+ margin-bottom: 15px;
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+ margin-left: auto;
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+ margin-right: auto;
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+ border-bottom-right-radius: .5rem !important;
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+ border-bottom-left-radius: .5rem !important;
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+ }
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+ #gallery>div>.h-full {
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+ min-height: 20rem;
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+ }
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+ .details:hover {
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+ text-decoration: underline;
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+ }
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+ .gr-button {
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+ white-space: nowrap;
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+ }
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+ .gr-button:focus {
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+ border-color: rgb(147 197 253 / var(--tw-border-opacity));
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+ outline: none;
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+ box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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+ --tw-border-opacity: 1;
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+ --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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+ --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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+ --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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+ --tw-ring-opacity: .5;
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+ }
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+ #advanced-btn {
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+ font-size: .7rem !important;
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+ line-height: 19px;
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+ margin-top: 12px;
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+ margin-bottom: 12px;
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+ padding: 2px 8px;
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+ border-radius: 14px !important;
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+ }
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+ #advanced-options {
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+ display: none;
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+ margin-bottom: 20px;
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+ }
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+ .footer {
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+ margin-bottom: 45px;
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+ margin-top: 35px;
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+ text-align: center;
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+ border-bottom: 1px solid #e5e5e5;
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+ }
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+ .footer>p {
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+ font-size: .8rem;
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+ display: inline-block;
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+ padding: 0 10px;
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+ transform: translateY(10px);
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+ background: white;
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+ }
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+ .dark .footer {
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+ border-color: #303030;
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+ }
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+ .dark .footer>p {
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+ background: #0b0f19;
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+ }
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+ .acknowledgments h4{
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+ margin: 1.25em 0 .25em 0;
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+ font-weight: bold;
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+ font-size: 115%;
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+ }
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+ .animate-spin {
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+ animation: spin 1s linear infinite;
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+ }
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+ @keyframes spin {
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+ from {
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+ transform: rotate(0deg);
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+ }
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+ to {
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+ transform: rotate(360deg);
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+ }
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+ }
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+ #share-btn-container {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;}
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+ div#share-btn-container > div {flex-direction: row;background: black;align-items: center}
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+ #share-btn-container:hover {background-color: #060606}
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+ #share-btn {all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.5rem !important; padding-bottom: 0.5rem !important;right:0;}
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+ #share-btn * {all: unset}
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+ #share-btn-container div:nth-child(-n+2){width: auto !important;min-height: 0px !important;}
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+ #share-btn-container .wrap {display: none !important}
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+ #share-btn-container.hidden {display: none!important}
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+
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+ .gr-form{
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+ flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
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+ }
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+ #prompt-container{
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+ gap: 0;
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+ }
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+ #prompt-container .form{
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+ border-top-right-radius: 0;
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+ border-bottom-right-radius: 0;
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+ }
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+ #gen-button{
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+ border-top-left-radius:0;
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+ border-bottom-left-radius:0;
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+ }
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+ #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
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+ #component-16{border-top-width: 1px!important;margin-top: 1em}
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+ .image_duplication{position: absolute; width: 100px; left: 50px}
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+ .tabitem{border: 0 !important}
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+ """
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+
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+ with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as llava:
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+ gr.HTML(
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+ """
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+ <div style="text-align: center; margin: 0 auto;">
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+ <div
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+ style="
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+ display: inline-flex;
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+ align-items: center;
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+ gap: 0.8rem;
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+ font-size: 1.75rem;
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+ "
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+ >
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+ <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
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+ DALL•E 3 XL
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+ </h1>
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+ </div>
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+ <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
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+ This space demonstrates the work of the model <a style="text-decoration: underline;" href="https://huggingface.co/Satyam-Singh/LLaVa-Imagine">Satyam-Singh/LLaVa-Imagine</a>.
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+ </p>
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+ </div>
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+ """
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+ )
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+
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+ with gr.Row():
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+ image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
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+ with gr.Column(elem_id="prompt-container"):
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+ text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
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+ text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
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+
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+ with gr.Accordion("Advanced settings", open=False):
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+ negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")
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+
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+ text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)
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+
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+ llava.launch(show_api=True)