Fixing error handling but honestly I am not so sure

app.py

@@ -39,10 +39,12 @@ def games_recomm(preferences_id):
         })
         ease_df = pred_df[pred_df['app_id'].isin(ease_ids)]
 
-        res_cbf = cbf_model(pred_df=pred_df, k=100)
-        res_ease = ease_model(pred_df=ease_df, k=100)
-
-        res = combine_hybrid_result(res_ease, res_cbf)
+        if ease_df.empty:
+            res = cbf_model(pred_df=pred_df, k=20)['app_id'].tolist()
+        else:
+            res_cbf = cbf_model(pred_df=pred_df, k=100)
+            res_ease = ease_model(pred_df=ease_df, k=100)
+            res = combine_hybrid_result(res_ease, res_cbf)
         
     # st.write(res)
     # st.write("Result of EASE:")
@@ -58,15 +60,18 @@ def games_recomm(preferences_id):
 
     if type(res) == ValueError:
         st.error("Recommendation failed. Please select with at least 3 games title.")
-        st.session_state
+        
         return
     else:
         st.session_state['rs'] = res
 
-    if len(st.session_state['rs']) >= 1:
-        st.success(f"Go to result page to view top {len(st.session_state['rs'])} recommendations.")
-    else:
-        st.error("Recommendation failed. Please reload the session.")
+    try:
+        if len(st.session_state['rs']) >= 1:
+            st.success(f"Go to result page to view top {len(st.session_state['rs'])} recommendations.")
+        else:
+            st.error("Recommendation failed. Please reload the session.")
+    except:
+        st.error("There is some error in recommendation process. Please restart the session.")
 
         # st.write(res)
 
@@ -154,9 +159,7 @@ def result_page():
 def about_page():
     st.header("Development")
     """
-    Cek [repositori](https://github.com/deppfellow/ta-steam_recsys) untuk informasi, source code, dan metode yang digunakan. Jangan ragu Jika anda memiliki pertanyaan.
-
-    Periksa repositori untuk kode sumber. Jangan ragu jika Anda memiliki pertanyaan. Anda dapat menghubungi saya melalui discord atau email dengan informasi di bawah:
+    Cek [repositori](https://huggingface.co/spaces/deppfellow/steam-recsys/tree/main) untuk informasi, source code, dan metode yang digunakan. Jangan ragu Jika anda memiliki pertanyaan, terbuka melalui media sosial di bawah:
     - Discord: deppfellow
     - Email : raid.rafif@mail.ugm.ac.id
     """

contentBased_model.py

@@ -120,8 +120,8 @@ class KnnCBF:
 def cbf_model(pred_df, k=10):
     # items = pd.read_csv("data/games_attributes.csv")
     items = pd.read_csv("data/all_games_attributes.csv")
-
+    
     cbf = KnnCBF(items)
     res = cbf.predict_active(pred_df=pred_df, k=k)
-
+    
     return res

easeBased_model.py

@@ -120,7 +120,11 @@ def ease_model(pred_df, k=10):
     train = pd.read_csv("data/recs.csv")
 
     ease = EASE(train)
-    res = ease.predict_active(pred_df=pred_df, weight_mx=ease_B, k=k)
+
+    try:
+        res = ease.predict_active(pred_df=pred_df, weight_mx=ease_B, k=k)
+    except:
+        return
 
     return res
 

func.py

@@ -51,17 +51,22 @@ def generate_res_gamebox(ids):
         if resp.status_code == 200:
             with st.container():
                 st.image(BytesIO(resp.content))
-                st.caption(data_ids[id])
+                # st.caption(data_ids[id])
+                st.caption(f"[{data_ids[id]}]({url_page})")
+                
             
             st.divider()
 
 def combine_hybrid_result(res_ease, res_cbf):
-    df = pd.concat([res_ease, res_cbf], axis=0)
-    res_final = df.groupby("app_id").sum().sort_values(["predicted_score"], ascending=False)
-    
-    predictions = res_final.head(10)
+    try:
+        df = pd.concat([res_ease, res_cbf], axis=0)
+
+        res_final = df.groupby("app_id").sum().sort_values(["predicted_score"], ascending=False)
+        
+        return res_final.head(10).index.tolist()
 
-    return predictions.index.tolist()
+    except:
+        st.error("Recommendation failed. Please select with at least 3 games title.")
 
     # for title in titles_list:
     #     # url = f"https://store.steampowered.com/app/"