Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -8,7 +8,145 @@ from PIL import Image
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from fastapi import FastAPI, Request
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from deep_translator import GoogleTranslator
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-
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# Initialize translator
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translator = GoogleTranslator(source='auto', target='en')
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@@ -77,19 +215,20 @@ def make_me():
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lines=4,
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container=False,
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elem_id="custom_textbox",
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placeholder="
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)
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with gr.Column(scale=1):
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gen_button = gr.Button('Generate image', elem_id="custom_gen_button")
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stop_button = gr.Button('Stop', variant='secondary', interactive=False,
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elem_id="custom_stop_button")
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def on_generate_click():
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return gr.Button('
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def on_stop_click():
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return gr.Button('Generate image', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
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gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
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@@ -97,7 +236,9 @@ def make_me():
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with gr.Row():
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with gr.Column():
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model_dropdown = gr.Dropdown(models, label="Select Model",
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value=models[0] if models else None
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output_image = gr.Image(
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label="Generated Image",
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width=512,
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@@ -108,7 +249,7 @@ def make_me():
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)
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# JSON output
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json_output = gr.JSON(label="API Response")
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def generate_wrapper(model_str, prompt):
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# Translate prompt to English
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@@ -134,12 +275,13 @@ def make_me():
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outputs=[gen_button, stop_button], cancels=[gen_event])
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# Create Gradio app
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with gr.Blocks(css=css_code) as demo:
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make_me()
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# Enable queue before mounting
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demo.queue()
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# Mount Gradio app to FastAPI
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app = gr.mount_gradio_app(app, demo, path="/")
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from fastapi import FastAPI, Request
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from deep_translator import GoogleTranslator
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# CSS yang lebih lengkap dengan berbagai elemen styling
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css_code = """
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/* General Styling */
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.gradio-container {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
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min-height: 100vh;
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padding: 20px;
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}
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/* Textbox Styling */
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#custom_textbox {
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min-height: 150px;
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padding: 15px;
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border-radius: 12px;
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border: 2px solid #e0e0e0;
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font-size: 16px;
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background: rgba(255, 255, 255, 0.9);
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box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05);
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transition: all 0.3s ease;
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}
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#custom_textbox:focus {
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border-color: #4facfe;
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box-shadow: 0 0 0 3px rgba(79, 172, 254, 0.2);
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outline: none;
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}
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/* Button Styling */
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#custom_gen_button {
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background: linear-gradient(to right, #4facfe 0%, #00f2fe 100%);
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color: white;
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border: none;
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border-radius: 12px;
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padding: 12px 24px;
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font-weight: 600;
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font-size: 16px;
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cursor: pointer;
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transition: all 0.3s ease;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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width: 100%;
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margin-bottom: 10px;
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}
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#custom_gen_button:hover {
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transform: translateY(-2px);
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box-shadow: 0 6px 12px rgba(0, 0, 0, 0.15);
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}
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#custom_stop_button {
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background: linear-gradient(to right, #ff4d4d 0%, #f97878 100%);
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color: white;
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border: none;
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border-radius: 12px;
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padding: 12px 24px;
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font-weight: 600;
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font-size: 16px;
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cursor: pointer;
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transition: all 0.3s ease;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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width: 100%;
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}
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#custom_stop_button:hover {
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transform: translateY(-2px);
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box-shadow: 0 6px 12px rgba(0, 0, 0, 0.15);
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}
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/* Image Styling */
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#custom_image {
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border-radius: 16px;
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box-shadow: 0 8px 24px rgba(0, 0, 0, 0.1);
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transition: all 0.3s ease;
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background: white;
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padding: 10px;
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max-width: 100%;
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height: auto;
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}
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#custom_image:hover {
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transform: scale(1.01);
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box-shadow: 0 12px 28px rgba(0, 0, 0, 0.15);
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}
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/* Dropdown Styling */
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.dark .dropdown-option {
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background: #2d3748 !important;
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}
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.dark .dropdown-option:hover {
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background: #4a5568 !important;
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}
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/* Panel Styling */
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.gr-box {
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border-radius: 16px !important;
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background: rgba(255, 255, 255, 0.8) !important;
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backdrop-filter: blur(10px);
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border: 1px solid rgba(255, 255, 255, 0.2) !important;
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1) !important;
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padding: 20px !important;
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}
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/* Label Styling */
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.gr-label {
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font-weight: 600 !important;
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color: #2d3748 !important;
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margin-bottom: 8px !important;
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font-size: 16px !important;
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}
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/* Responsive Adjustments */
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@media (max-width: 768px) {
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.gradio-container {
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padding: 10px;
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}
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#custom_textbox {
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min-height: 120px;
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font-size: 14px;
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}
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#custom_gen_button, #custom_stop_button {
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padding: 10px 15px;
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font-size: 14px;
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}
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}
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/* Animation for loading state */
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@keyframes pulse {
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0% { opacity: 0.6; }
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50% { opacity: 1; }
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100% { opacity: 0.6; }
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}
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.loading {
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animation: pulse 1.5s infinite;
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}
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"""
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# Initialize translator
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translator = GoogleTranslator(source='auto', target='en')
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lines=4,
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container=False,
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elem_id="custom_textbox",
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placeholder="Describe the image you want to generate...",
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interactive=True
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)
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with gr.Column(scale=1):
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gen_button = gr.Button('Generate image', elem_id="custom_gen_button", variant="primary")
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stop_button = gr.Button('Stop', variant='secondary', interactive=False,
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elem_id="custom_stop_button")
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def on_generate_click():
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return gr.Button('Generating...', interactive=False, elem_id="custom_gen_button", variant="stop"), gr.Button('Stop', variant='secondary', interactive=True, elem_id="custom_stop_button")
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def on_stop_click():
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return gr.Button('Generate image', elem_id="custom_gen_button", variant="primary"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
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gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
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with gr.Row():
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with gr.Column():
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model_dropdown = gr.Dropdown(models, label="Select Model",
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value=models[0] if models else None,
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interactive=True,
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elem_classes=["model-selector"])
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output_image = gr.Image(
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label="Generated Image",
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width=512,
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)
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# JSON output
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json_output = gr.JSON(label="API Response", elem_id="api-response")
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def generate_wrapper(model_str, prompt):
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# Translate prompt to English
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outputs=[gen_button, stop_button], cancels=[gen_event])
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# Create Gradio app
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with gr.Blocks(css=css_code, theme=gr.themes.Soft()) as demo:
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gr.Markdown("# AI Image Generator", elem_id="title")
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gr.Markdown("Generate stunning images from text prompts using advanced AI models", elem_id="subtitle")
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make_me()
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# Enable queue before mounting
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demo.queue(concurrency_count=5)
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# Mount Gradio app to FastAPI
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app = gr.mount_gradio_app(app, demo, path="/")
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