Clean up and add examples

app.py

@@ -13,21 +13,12 @@ class UrlClassifier:
 
     def predict(self, input_text: str):
         pred = self.pipeline(input_text, self.candidate_labels)
-        # pred = self.pipeline(input_text)[0]
         
         sorted_preds = sorted(zip(pred['scores'], pred['labels']))
         result = {}
         for i in range(len(sorted_preds)):
             result[sorted_preds[i][1]] = sorted_preds[i][0]
-        
-        # result = {
-        #     "Sadness 😭": pred[0]["score"],
-        #     "Joy 😂": pred[1]["score"],
-        #     "Love 😍": pred[2]["score"],
-        #     "Anger 😠": pred[3]["score"],
-        #     "Fear 😨": pred[4]["score"],
-        #     "Surprise 😲": pred[5]["score"],
-        # }
+
         return result
 
 
@@ -43,11 +34,12 @@ def main():
         outputs="label",
         title="Ecommerce URL Classification",
         examples=[
-            "I get so down when I'm alone",
-            "I believe that today everything will work out",
-            "It was so dark there I was afraid to go",
-            "I loved the gift you gave me",
-            "I was very surprised by your presentation.",
+            "https://www.homedepot.com/p/MINKA-AIRE-Concept-II-44-in-Integrated-LED-Indoor-White-Ceiling-Fan-with-Light-with-Remote-Control-F518L-WH/310172695",
+            "https://www.allsaints.com/us/men/t-shirts/pinup-crew-t-shirt/USMG127X-162.html",
+            "https://www.ikea.com/us/en/cat/multifunctional-tables-57537/",
+            "https://www.rei.com/adventures/all-trips?cm_mmc=email_com_gm-_-20230102_ADV_AdventuresJanuary-_-010223-_-CTA1_NP_Adventures_23_00005&ev36=555141764&rmid=20230102_ADV_AdventuresJanuary&rrid=932052075&e",
+            "https://www.dsw.com/en/us/product/adidas-fluid-flow-2.0-running-shoe---womens/512360",
+            "https://www.homedepot.com/b/Tools-Power-Tools-Saws-Scroll-Saws/N-5yc1vZc67a?sortorder=desc&sortby=price"
         ],
     )