MattGPT commited on
Commit
a53e9dd
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1 Parent(s): ee279c9

Update app.py

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Files changed (1) hide show
  1. app.py +1 -50
app.py CHANGED
@@ -1,59 +1,10 @@
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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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-
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- .light-square {
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- background-color: #ccc;
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- }
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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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-
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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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-
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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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-
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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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-
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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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-
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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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-
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- generate_grid()
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-
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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):