Update app.py

app.py

@@ -14,7 +14,7 @@ def analyze_datasets(dataset, dataset_name,  token, column=None, pairwise="off")
         analyze_report = sv.analyze(df, target_feat=column, pairwise_analysis=pairwise)
     else:
         analyze_report = sv.analyze(df, pairwise_analysis=pairwise)
-        analyze_report.show_html('index.html', open_browser=False)
+        analyze_report.show_html('./index.html', open_browser=False)
     repo_url = create_repo(f"{username}/{dataset_name}", repo_type = "space", token = token, space_sdk = "static", private=False)
     
     upload_file(path_or_fileobj ="./index.html", path_in_repo = "index.html", repo_id =f"{username}/{dataset_name}", repo_type = "space", token=token)
@@ -32,7 +32,7 @@ def compare_column_values(dataset, dataset_name, token, column, category):
     arr = df[column].unique()
     arr = list(arr[arr != column])
     compare_report = sv.compare_intra(df, df[column] == category, arr[0])
-    compare_report.show_html('index.html', open_browser=False)
+    compare_report.show_html('./index.html', open_browser=False)
 
     repo_url = create_repo(f"{username}/{dataset_name}", repo_type = "space", token = token, space_sdk = "static", private=False)
     
@@ -51,7 +51,7 @@ def compare_dataset_splits(dataset, dataset_name,  token, splits):
     username = HfApi().whoami(token=token)["name"]
 
     compare_report = sv.compare([train, "Training Data"], [test, "Test Data"])
-    compare_report.show_html('index.html', open_browser=False)
+    compare_report.show_html('./index.html', open_browser=False)
 
     repo_url = create_repo(f"{username}/{dataset_name}", repo_type = "space", token = token, space_sdk = "static", private=False)