Update app.py
Browse files
app.py
CHANGED
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@@ -6,142 +6,30 @@ import os
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from PIL import Image
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from deep_translator import GoogleTranslator
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import gradio as gr
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def welcome(name):
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return f"Welcome to Gradio, {name}!"
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js = """
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function createGradioAnimation() {
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var container = document.createElement('div');
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container.id = 'gradio-animation';
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container.style.fontSize = '2em';
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container.style.fontWeight = 'bold';
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container.style.textAlign = 'center';
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container.style.marginBottom = '20px';
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var text = 'Welcome to Gradio!';
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for (var i = 0; i < text.length; i++) {
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(function(i){
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setTimeout(function(){
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var letter = document.createElement('span');
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letter.style.opacity = '0';
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letter.style.transition = 'opacity 0.5s';
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letter.innerText = text[i];
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container.appendChild(letter);
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setTimeout(function() {
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letter.style.opacity = '1';
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}, 50);
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}, i * 250);
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})(i);
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}
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var gradioContainer = document.querySelector('.gradio-container');
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gradioContainer.insertBefore(container, gradioContainer.firstChild);
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return 'Animation created';
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}
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"""
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with gr.Blocks(js=js) as demo:
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inp = gr.Textbox(placeholder="What is your name?")
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out = gr.Textbox()
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inp.change(welcome, inp, out)
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demo.launch()
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html='''<style>
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body, html, #app {
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margin: 0;
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width: 100%;
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height: 100%;
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}
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#app {
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overflow: hidden;
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touch-action: pan-up;
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color: #ffffff;
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font-family: 'Montserrat', sans-serif;
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text-align: center;
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text-shadow: 0 0 5px #000000, 0 0 20px #000;
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user-select: none;
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}
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#app h1 {
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--fontSize: 50px;
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--lineHeight: 70px;
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width: auto;
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height: calc(2 * var(--lineHeight));
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line-height: var(--lineHeight);
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margin: calc(50vh - var(--lineHeight)) auto 0;
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font-size: var(--fontSize);
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}
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#app a {
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margin-top: 10px;
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display: inline-block;
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text-decoration: none;
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color: #fff;
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}
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#app canvas {
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display: block;
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position: fixed;
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z-index: -1;
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top: 0;
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}
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</style>
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<script>
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import { swarmBackground } from 'https://unpkg.com/threejs-toys@0.0.8/build/threejs-toys.module.cdn.min.js'
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const bg = swarmBackground({
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el: document.getElementById('app'),
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eventsEl: document.body,
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gpgpuSize: 256,
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color: [Math.random() * 0xffffff, Math.random() * 0xffffff],
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geometry: 'default'
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})
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bg.three.camera.position.set(0, 0, 200)
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document.body.addEventListener('click', () => {
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bg.setColors([Math.random() * 0xffffff, Math.random() * 0xffffff])
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})
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</script>
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<div id="app">
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<div id="hero">
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<h1>SWARM<br/>BACKGROUND</h1>
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<a target="_blank" href="https://github.com/klevron/threejs-toys">github/threejs-toys</a>
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</div>
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</div>
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'''
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# os.makedirs('assets', exist_ok=True)
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if not os.path.exists('icon.jpg'):
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os.system("wget -O icon.jpg https://i.pinimg.com/564x/64/49/88/644988c59447eb00286834c2e70fdd6b.jpg")
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API_URL_DEV =
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API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
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timeout = 100
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def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, huggingface_api_key=None
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# Determine which API URL to use
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api_url = API_URL_DEV if use_dev else API_URL
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# Check if the request is an API call by checking for the presence of the huggingface_api_key
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is_api_call = huggingface_api_key is not None
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if is_api_call:
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# Use the environment variable for the API key in GUI mode
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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else:
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# Validate the API key if it's an API call
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if huggingface_api_key == "":
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raise gr.Error("API key is required for API calls.")
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headers = {"Authorization": f"Bearer {huggingface_api_key}"}
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if prompt == "" or prompt is None:
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return None
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@@ -166,7 +54,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
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"strength": strength
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}
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response = requests.post(
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if response.status_code != 200:
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print(f"Error: Failed to get image. Response status: {response.status_code}")
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print(f"Response content: {response.text}")
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@@ -199,21 +87,19 @@ css = """
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align-items: center;
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justify-content: center;
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}
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#title-icon {
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width: 32px; /* Adjust the width of the icon as needed */
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height: auto;
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margin-right: 10px; /* Space between icon and title */
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}
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#title-text {
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font-size: 24px; /* Adjust font size as needed */
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font-weight: bold;
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}
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"""
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inp = gr.Textbox(placeholder="What is your name?")
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out = gr.Textbox()
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inp.change(welcome, inp, out)
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with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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gr.HTML("""
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<center>
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@@ -222,7 +108,7 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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<h1 id="title-text">FLUX Capacitor</h1>
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</div>
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</center>
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"""
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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@@ -238,15 +124,16 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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huggingface_api_key = gr.Textbox(label="Hugging Face API Key (required for API calls)", placeholder="Enter your Hugging Face API Key here", type="password", elem_id="api-key")
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use_dev = gr.Checkbox(label="Use Dev API", value=False, elem_id="use-dev-checkbox")
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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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seed_output = gr.Textbox(label="Seed Used", elem_id="seed-output")
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# Adjust the click function to include the API key
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, huggingface_api_key
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app.launch(show_api=True, share=False)
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from PIL import Image
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from deep_translator import GoogleTranslator
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#os.makedirs('assets', exist_ok=True)
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if not os.path.exists('icon.jpg'):
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os.system("wget -O icon.jpg https://i.pinimg.com/564x/64/49/88/644988c59447eb00286834c2e70fdd6b.jpg")
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API_URL_DEV ="https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
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API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
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timeout = 100
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def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, huggingface_api_key=None):
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# Check if the request is an API call by checking for the presence of the huggingface_api_key
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is_api_call = huggingface_api_key is not None
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if is_api_call:
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# Use the environment variable for the API key in GUI mode
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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else:
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# Validate the API key if it's an API call
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if huggingface_api_key == "":
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raise gr.Error("API key is required for API calls.")
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headers = {"Authorization": f"Bearer {huggingface_api_key}"}
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if prompt == "" or prompt is None:
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return None
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"strength": strength
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}
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response = requests.post(API_URL_DEV, headers=headers, json=payload, timeout=timeout)
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if response.status_code != 200:
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print(f"Error: Failed to get image. Response status: {response.status_code}")
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print(f"Response content: {response.text}")
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align-items: center;
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justify-content: center;
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}
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#title-icon {
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width: 32px; /* Adjust the width of the icon as needed */
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height: auto;
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margin-right: 10px; /* Space between icon and title */
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}
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#title-text {
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font-size: 24px; /* Adjust font size as needed */
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font-weight: bold;
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}
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"""
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with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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gr.HTML("""
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<center>
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<h1 id="title-text">FLUX Capacitor</h1>
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</div>
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</center>
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""")
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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huggingface_api_key = gr.Textbox(label="Hugging Face API Key (required for API calls)", placeholder="Enter your Hugging Face API Key here", type="password", elem_id="api-key")
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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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# Define two outputs: one for the image file path and one for the seed
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#image_path_output = gr.Textbox(label="Image File Path", elem_id="gallery")
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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seed_output = gr.Textbox(label="Seed Used", elem_id="seed-output")
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# Adjust the click function to include the API key as an input
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, huggingface_api_key], outputs=[image_output, seed_output])
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app.launch(show_api=True, share=False)
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