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Commit ·
3e10159
1
Parent(s): 9e2257b
Fix: Resolve Gradio 6.0 compatibility and gr.Div attribute error
Browse files
app.py
CHANGED
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@@ -2,10 +2,8 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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from PIL import Image
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import io
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# Initialize the HF Inference Client
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# It will use the HF_TOKEN from your Space's environment variables
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client = InferenceClient(token=os.getenv("HF_TOKEN"))
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MODELS = {
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@@ -19,30 +17,24 @@ def generate_image(prompt, model_choice):
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model_id = MODELS.get(model_choice, MODELS["Flux.1 [Schnell]"])
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print(f"[Vision] Request: {prompt[:50]}... via {model_choice}")
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try:
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# Use the inference client to get an image
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# This returns a PIL.Image object directly
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image = client.text_to_image(prompt, model=model_id)
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return image
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except Exception as e:
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print(f"[Error] Generation failed: {str(e)}")
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# Raise error to show in Gradio UI
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raise gr.Error(f"Neural Core Error: {str(e)}")
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# UI Styling
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custom_css = """
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footer {visibility: hidden}
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#gen-button { background: #ffffff !important; color: #000000 !important; font-weight: 900 !important; }
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"""
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with gr.Row():
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with gr.Column(scale=1):
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@@ -68,4 +60,8 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default(primary_hue="zinc", secon
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)
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if __name__ == "__main__":
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-
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from huggingface_hub import InferenceClient
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import os
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from PIL import Image
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# Initialize the HF Inference Client
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client = InferenceClient(token=os.getenv("HF_TOKEN"))
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MODELS = {
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model_id = MODELS.get(model_choice, MODELS["Flux.1 [Schnell]"])
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try:
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image = client.text_to_image(prompt, model=model_id)
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return image
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except Exception as e:
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raise gr.Error(f"Neural Core Error: {str(e)}")
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# UI Styling
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custom_css = """
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footer {visibility: hidden}
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body { background-color: #030303 !important; }
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.gradio-container { border: none !important; }
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#gen-button { background: #ffffff !important; color: #000000 !important; font-weight: 900 !important; }
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"""
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# Fixed: Removed gr.Div (unsupported) and moved theme/css to launch() for Gradio 6 compatibility
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with gr.Blocks() as demo:
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gr.Markdown("# CODEX_VISION", elem_id="title")
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gr.Markdown("### NEURAL PROJECTION INTERFACE")
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with gr.Row():
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with gr.Column(scale=1):
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)
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if __name__ == "__main__":
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# Gradio 6.0 compatible launch
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demo.queue().launch(
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css=custom_css,
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theme=gr.themes.Default(primary_hue="zinc", secondary_hue="zinc")
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)
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