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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| import os | |
| from PIL import Image | |
| # Initialize the HF Inference Client | |
| client = InferenceClient(token=os.getenv("HF_TOKEN")) | |
| MODELS = { | |
| "Flux.1 [Schnell]": "black-forest-labs/FLUX.1-schnell", | |
| "Pony XL (Animagine)": "cagliostrolab/animagine-xl-3.1" | |
| } | |
| def generate_image(prompt, model_choice): | |
| if not prompt or prompt.strip() == "": | |
| return None | |
| model_id = MODELS.get(model_choice, MODELS["Flux.1 [Schnell]"]) | |
| try: | |
| image = client.text_to_image(prompt, model=model_id) | |
| return image | |
| except Exception as e: | |
| raise gr.Error(f"Neural Core Error: {str(e)}") | |
| # UI Styling | |
| custom_css = """ | |
| footer {visibility: hidden} | |
| body { background-color: #030303 !important; } | |
| .gradio-container { border: none !important; } | |
| #gen-button { background: #ffffff !important; color: #000000 !important; font-weight: 900 !important; } | |
| """ | |
| # Fixed: Removed gr.Div (unsupported) and moved theme/css to launch() for Gradio 6 compatibility | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# CODEX_VISION", elem_id="title") | |
| gr.Markdown("### NEURAL PROJECTION INTERFACE") | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| prompt = gr.Textbox( | |
| label="Prompt", | |
| placeholder="Describe what you want to see...", | |
| lines=3 | |
| ) | |
| model = gr.Radio( | |
| choices=list(MODELS.keys()), | |
| value="Flux.1 [Schnell]", | |
| label="Engine" | |
| ) | |
| btn = gr.Button("Initialize Visualization", variant="primary", elem_id="gen-button") | |
| with gr.Column(scale=1): | |
| output = gr.Image(label="Projection Result", type="pil") | |
| btn.click( | |
| fn=generate_image, | |
| inputs=[prompt, model], | |
| outputs=output | |
| ) | |
| if __name__ == "__main__": | |
| # Gradio 6.0 compatible launch | |
| demo.queue().launch( | |
| css=custom_css, | |
| theme=gr.themes.Default(primary_hue="zinc", secondary_hue="zinc") | |
| ) | |