Update app.py
Browse files
app.py
CHANGED
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css = """
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/* Define the background colors for dark and light squares */
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.dark-square {
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background-color: #555;
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}
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.light-square {
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background-color: #ccc;
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}
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/* Style the column containers to have the appropriate background color */
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.col {
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flex: 1 0 8.33333%;
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margin: 0 5px;
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text-align: center;
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padding: 10px;
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}
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/* Alternate the background colors between dark and light squares */
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.layout .col:nth-child(odd) .col:nth-child(odd) {
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background-color: #555;
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}
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.layout .col:nth-child(even) .col:nth-child(odd) {
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background-color: #ccc;
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}
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.layout .col:nth-child(odd) .col:nth-child(even) {
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background-color: #ccc;
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}
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.layout .col:nth-child(even) .col:nth-child(even) {
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background-color: #555;
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}
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"""
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# Import necessary libraries
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import gradio as gr # Gradio is used to create web interfaces for Python scripts.
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from transformers import AutoConfig # AutoConfig is from the Hugging Face Transformers library, used to create configuration for various models.import gradio as gr
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def generate_grid():
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with gr.Blocks(css=css, label="The Big Gridio", elem_class="layout", elem_id="grid-lg") as grid:
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for row in range(12):
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with gr.Row() as row_container:
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for col in range(12):
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with gr.Column() as col_container:
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col_container.style.elem_class = f"col-{col}"
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col_container.style.elem_id = f"col-{col}"
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# Add any additional content or components to the column container here
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gr.Label(f"Row: {row} | Col: {col}")
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generate_grid()
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# A list of model names to start with. These are names of popular models from the Hugging Face library.
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model_list = ["bert-base-uncased", "gpt2", "distilbert-base-uncased"]
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# Function to add a new model to the list.
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def add_model_to_list(new_model):
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# Import necessary libraries
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import gradio as gr # Gradio is used to create web interfaces for Python scripts.
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from transformers import AutoConfig # AutoConfig is from the Hugging Face Transformers library, used to create configuration for various models.import gradio as gr
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# A list of model names to start with. These are names of popular models from the Hugging Face library.
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model_list = ["bert-base-uncased", "gpt2", "distilbert-base-uncased, "]
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# Function to add a new model to the list.
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def add_model_to_list(new_model):
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