stability fix

app.py

@@ -5,30 +5,61 @@ import gradio as gr
 
 df = pd.read_csv("./data.csv")
 
-def parse_into_jinja_markdown(model_name, performance,accuracy,Precision, Recall, Robustness, Fairness, Failure_Clusters ):
-    env = Environment(loader=FileSystemLoader('.'), autoescape=True)
-    temp = env.get_template('mc_template.md')
-    return( temp.render(model_id =model_name, accuracy=accuracy,Precision=Precision,Recall=Recall,Robustness=Robustness,Fairness=Fairness,Performance =performance, Failure_Cluster=Failure_Clusters))
+
+def parse_into_jinja_markdown(
+    model_name,
+    performance,
+    accuracy,
+    Precision,
+    Recall,
+    Robustness,
+    Fairness,
+    Failure_Clusters,
+):
+    env = Environment(loader=FileSystemLoader("."), autoescape=True)
+    temp = env.get_template("mc_template.md")
+    return temp.render(
+        model_id=model_name,
+        accuracy=accuracy,
+        Precision=Precision,
+        Recall=Recall,
+        Robustness=Robustness,
+        Fairness=Fairness,
+        Performance=performance,
+        Failure_Cluster=Failure_Clusters,
+    )
+
 
 def md_builder(model, dataset, displayed_metrics):
     row = df[df["friendly_name"] == model]
     str = ""
-       ## f"# <span style='font-size: 16px;'> Model Card for <code style='font-weight: 400'>{model}</code></span>\n"
-        ##f"On dataset `{dataset}`\n"
-        
-   ## )
+    ## f"# <span style='font-size: 16px;'> Model Card for <code style='font-weight: 400'>{model}</code></span>\n"
+    ##f"On dataset `{dataset}`\n"
+
+    ## )
+
+    # init vars to empty string
+    (
+        perform_val,
+        accuracy_val,
+        precision_val,
+        recall_val,
+        robustness_val,
+        fairness_val,
+        fail_cluster,
+    ) = ("", "", "", "", "", "", "")
 
     if "Performance" in displayed_metrics:
         perform_val = f"\nPerformance: `{row['performance'].values[0]}`"
 
     if "Accuracy" in displayed_metrics:
-        accuracy_val= f"\nAccuracy: `{row['accuracy'].values[0]}`"
+        accuracy_val = f"\nAccuracy: `{row['accuracy'].values[0]}`"
 
     if "Precision" in displayed_metrics:
-        precision_val= f"\nPrecision: `{row['precision_weighted'].values[0]}`"
+        precision_val = f"\nPrecision: `{row['precision_weighted'].values[0]}`"
 
     if "Recall" in displayed_metrics:
-        recall_val= f"\nRecall: `{row['recall_weighted'].values[0]}`"
+        recall_val = f"\nRecall: `{row['recall_weighted'].values[0]}`"
 
     if "Robustness" in displayed_metrics:
         robustness_val = f"\nRobustness: `{100-row['robustness'].values[0]}`"
@@ -37,11 +68,20 @@ def md_builder(model, dataset, displayed_metrics):
         fairness_val = f"\nFairness: `{0}`"
 
     if "Failure Clusters" in displayed_metrics:
-        cl_count = row['cluster_count'].values[0]
+        cl_count = row["cluster_count"].values[0]
         fail_cluster = f"\nTop failures: {row['top_failure_cluster'].values[0]}(+{cl_count - 1} others)(details for all {cl_count} clusters)"
 
     str += "\n<div style='text-align: right'>⛶ Expand safety card</div>"
-    str = parse_into_jinja_markdown(model,perform_val,accuracy_val,precision_val,recall_val,robustness_val,fairness_val,fail_cluster)
+    str = parse_into_jinja_markdown(
+        model,
+        perform_val,
+        accuracy_val,
+        precision_val,
+        recall_val,
+        robustness_val,
+        fairness_val,
+        fail_cluster,
+    )
     return str