added filtering through sbmit button

app.py

@@ -67,19 +67,20 @@ def change_tab(query_param):
 
 
 def submit_query(single_df, multi_df, text, backends, datatypes, threshold):
-    print("submit_query")
-    print(text, backends, datatypes, threshold)
-    filtered_single = single_df[single_df["Model 🤗"].str.contains(text)]
-    filtered_single = single_df[single_df["Backend 🏭"].isin(backends)]
-    filtered_single = filtered_single[filtered_single["Datatype 📥"].isin(
-        datatypes)]
-    filtered_single = single_df[single_df["Average H4 Score ⬆️"] >= threshold]
-
-    filtered_multi = multi_df[multi_df["Model 🤗"].str.contains(text)]
-    filtered_multi = multi_df[multi_df["Backend 🏭"].isin(backends)]
-    filtered_multi = filtered_multi[filtered_multi["Datatype 📥"].isin(
-        datatypes)]
-    filtered_multi = multi_df[multi_df["Average H4 Score ⬆️"] >= threshold]
+
+    filtered_single = single_df[
+        single_df["Model 🤗"].str.contains(text) &
+        single_df["Backend 🏭"].isin(backends) &
+        single_df["Datatype 📥"].isin(datatypes) &
+        single_df["Average H4 Score ⬆️"] >= threshold
+    ]
+
+    filtered_multi = multi_df[
+        multi_df["Model 🤗"].str.contains(text) &
+        multi_df["Backend 🏭"].isin(backends) &
+        multi_df["Datatype 📥"].isin(datatypes) &
+        multi_df["Average H4 Score ⬆️"] >= threshold
+    ]
 
     return filtered_single, filtered_multi