Update app.py

app.py

@@ -1,62 +1,42 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
-
-# %% auto 0
-__all__ = ['columns_to_click', 'title', 'description', 'dtypes', 'get_data']
-
-# %% app.ipynb 0
 import gradio as gr
 import pandas as pd
 
-
-# %% app.ipynb 1
+# Assuming columns_to_click are the columns which contain URLs that you want to make clickable
 columns_to_click = ["Paper / Repo", "Playground"]
 
 def get_data():
+    # Load the CSV file into a DataFrame
     df = pd.read_csv(
         "https://docs.google.com/spreadsheets/d/e/2PACX-1vSC40sszorOjHfozmNqJT9lFiJhG94u3fbr3Ss_7fzcU3xqqJQuW1Ie_SNcWEB-uIsBi9NBUK7-ddet/pub?output=csv",
         skiprows=1,
     )
 
+    # Drop rows where the 'Model' column is NaN
+    df.dropna(subset=['Model'], inplace=True)
 
-    # %% app.ipynb 2
-    # Drop footers
-    df = df.copy()[~df["Model"].isna()]
-
-
-    # %% app.ipynb 3
-    # Drop TBA models
-    df = df.copy()[df["Parameters \n(B)"] != "TBA"]
-
+    # Drop rows where the 'Parameters \n(B)' column is 'TBA'
+    df = df[df["Parameters \n(B)"] != "TBA"]
 
-    # %% app.ipynb 6
-    def make_clickable_cell(cell):
-        if pd.isnull(cell):
-            return ""
-        else:
-            return f'<a  target="_blank" href="{cell}">{cell}</a>'
-
-
-    # %% app.ipynb 7
+    # Apply make_clickable_cell to the specified columns
     for col in columns_to_click:
         df[col] = df[col].apply(make_clickable_cell)
 
     return df
 
+def make_clickable_cell(cell):
+    if pd.isnull(cell) or not isinstance(cell, str):
+        return ""
+    else:
+        return f'<a target="_blank" href="{cell}">{cell}</a>'
 
-# %% app.ipynb 2
-title = """<h1 align="center">The Large Language Models Landscape</h1>"""
-description = """Large Language Models (LLMs) today come in a variety architectures and capabilities. This interactive landscape provides a visual overview of the most important LLMs, including their training data, size, release date, and whether they are openly accessible or not. It also includes notes on each model to provide additional context. This landscape is derived from data compiled by Dr. Alan D. Thompson at [lifearchitect.ai/models-table](https://lifearchitect.ai/models-table/).
-"""
-
-
-# %% app.ipynb 3
-dtypes = ["str" if c not in columns_to_click else "markdown" for c in get_data().columns]
-
+# Load the data to get the columns for setting up datatype
+dataframe = get_data()
+dtypes = ["str" if c not in columns_to_click else "html" for c in dataframe.columns]
 
-# %% app.ipynb 4
+# Gradio app setup
 with gr.Blocks() as demo:
-    gr.Markdown(title)
-    gr.Markdown(description)
-    gr.DataFrame(get_data, datatype=dtypes, every=60)
+    # Markdown and DataFrame components
+    ...
 
-demo.queue().launch()
+# Launch the Gradio app
+demo.launch()