Update app.py

app.py

@@ -12,9 +12,9 @@ def calculate_pages(df, items_per_page):
     return -(-len(df) // items_per_page)  # Equivalent to math.ceil(len(df) / items_per_page)
 
 @st.cache_data
-def cached_model_info(api, model):
+def cached_model_info(_api, model):
     try:
-        return api.model_info(repo_id=str(model))
+        return _api.model_info(repo_id=str(model))
     except (RepositoryNotFoundError, RevisionNotFoundError):
         return None
 
@@ -179,18 +179,8 @@ def main():
                         help="Click to download the CSV file",
                     )
                 if st.button("Fetch Merge-Configs"):
-                    configurations, matches, csv_data = fetch_merge_configs(full_df)
-                    for config in configurations:
-                        st.text(f"Model Name: {config['Model Name']}\nScores: {config['Scores']}\nAGIEval: {config['AGIEval']}\nGPT4All: {config['GPT4All']}\nTruthfulQA: {config['TruthfulQA']}\nBigbench: {config['Bigbench']}\nModel Card: {config['Model Card']}\n\n")
-                    configurations_df = pd.DataFrame(configurations)
-                    configurations_csv = configurations_df.to_csv(index=False)
-                    st.download_button(
-                        label="Download Configurations",
-                        data=configurations_csv,
-                        file_name="configurations.csv",
-                        key="download-csv",
-                        help="Click to download the CSV file",
-                    )
+                    fetch_merge_configs(full_df)
+                    st.success("Merge configurations have been fetched and saved.")
 
                 create_bar_chart(df, 'Filtered Average')