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| from turtle import width | |
| import gradio as gr | |
| from utils import SampleClass | |
| sample = SampleClass() | |
| # --- Interface --- | |
| demo = gr.Blocks( | |
| title="Categories_error_analysis.ipynb", | |
| css=".container { max-width: 98%; margin: auto;};") | |
| with demo: | |
| gr.Markdown("<h2><center> 😱 Categories Error Analysis 🐛</center></h2>") | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row():category = gr.Dropdown( | |
| label="Category", | |
| value="relational", | |
| choices=["intrinsic","spatial","ordinal","relational","plural"]) | |
| with gr.Column(): | |
| with gr.Row():predictions = gr.Dropdown( | |
| label='Predictions', | |
| value='fail', | |
| choices=["fail", "correct"]) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row():model = gr.Dropdown( | |
| label='Model', | |
| value='baseline', | |
| choices=["baseline", "extended"]) | |
| with gr.Column(): | |
| with gr.Row():split = gr.Dropdown( | |
| label='Split', | |
| value='val', | |
| choices=["test","val"]) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row():username = gr.Dropdown( | |
| label="UserName", | |
| value="luciana", | |
| choices=["luciana",'mauri','jorge','nano']) | |
| with gr.Column(): | |
| with gr.Row():next_idx_sample = gr.Number( | |
| label='Next Idx Sample', | |
| value=0) | |
| with gr.Row(): | |
| progress = gr.Label(label='Progress',num_top_classes=10) | |
| with gr.Row(): | |
| btn_next = gr.Button("Get Next Sample") | |
| with gr.Column(): | |
| with gr.Row(): info = gr.Text(label="Sample Info") | |
| with gr.Row(): img = gr.Image(label="Sample", type="numpy") | |
| btn_next.click( | |
| fn=sample.explorateSamples, | |
| inputs=[username,predictions,category,model,split,next_idx_sample], | |
| outputs=[next_idx_sample, progress, img, info]) | |
| # demo.queue(concurrency_count=10) | |
| demo.launch(debug=False) |