Update app.py

app.py

@@ -3,7 +3,7 @@ from gliner import GLiNER
 import gradio as gr
 
 jp_model = GLiNER.from_pretrained("vumichien/ner-jp-gliner")
-meal_model = GLiNER.from_pretrained("urchade/gliner_mediumv2.1")
+meal_model = GLiNER.from_pretrained("vumichien/meals-gliner")
 
 
 def merge_tokens(entities, text):
@@ -37,19 +37,33 @@ def merge_tokens(entities, text):
 
 examples = [
     [
-        "ner_jp",
         "SPRiNGSと最も仲の良いライバルグループ。",
+        "ner_jp",
         "その他の組織名, 法人名, 地名, 人名",
         0.3,
         True,
     ],
     [
-        "ner_jp",
         "レッドフォックス株式会社は、東京都千代田区に本社を置くITサービス企業である",
+        "ner_jp",
         "その他の組織名, 法人名, 地名, 人名",
         0.3,
         False,
     ],
+    [
+        "The aromatic flavors of Bangladesh's popular dessert, Mishti Doi, are elevated with a rich chocolate syrup. The velvety texture and subtle sweetness of the ice cream pair perfectly with the crunch of chopped nuts.",
+        "ner_meals",
+        "food, location, ingredient, dessert",
+        0.5,
+        True,
+    ],
+    [
+        "The newly opened bakery in Lahore, Pakistan is famous for its freshly baked naan bread. The aroma of warm garlic and coriander wafts through the air, enticing customers to try their signature dish - the 'Lahori Naan'.",
+        "ner_meals",
+        "food, location, ingredient, dessert",
+        0.5,
+        False,
+    ],
 ]
 
 
@@ -122,11 +136,11 @@ with gr.Blocks(title="GLiNER-M-v2.1") as demo:
         gr.Code(
             '''
 from gliner import GLiNER
-model = GLiNER.from_pretrained("urchade/gliner_mediumv2.1")
+model = GLiNER.from_pretrained("vumichien/meals-gliner", load_tokenizer=True)
 text = """
-Cristiano Ronaldo dos Santos Aveiro (Portuguese pronunciation: [kɾiʃˈtjɐnu ʁɔˈnaldu]; born 5 February 1985) is a Portuguese professional footballer who plays as a forward for and captains both Saudi Pro League club Al Nassr and the Portugal national team. Widely regarded as one of the greatest players of all time, Ronaldo has won five Ballon d'Or awards,[note 3] a record three UEFA Men's Player of the Year Awards, and four European Golden Shoes, the most by a European player. He has won 33 trophies in his career, including seven league titles, five UEFA Champions Leagues, the UEFA European Championship and the UEFA Nations League. Ronaldo holds the records for most appearances (183), goals (140) and assists (42) in the Champions League, goals in the European Championship (14), international goals (128) and international appearances (205). He is one of the few players to have made over 1,200 professional career appearances, the most by an outfield player, and has scored over 850 official senior career goals for club and country, making him the top goalscorer of all time.
+The aromatic flavors of Bangladesh's popular dessert, Mishti Doi, are elevated with a rich chocolate syrup. The velvety texture and subtle sweetness of the ice cream pair perfectly with the crunch of chopped nuts.
 """
-labels = ["person", "award", "date", "competitions", "teams"]
+labels = ["food", "location", "ingredient", "dessert"]
 entities = model.predict_entities(text, labels)
 for entity in entities:
     print(entity["text"], "=>", entity["label"])
@@ -135,23 +149,16 @@ for entity in entities:
         )
         gr.Code(
             """
-Cristiano Ronaldo dos Santos Aveiro => person
-5 February 1985 => date
-Al Nassr => teams
-Portugal national team => teams
-Ballon d'Or => award
-UEFA Men's Player of the Year Awards => award
-European Golden Shoes => award
-UEFA Champions Leagues => competitions
-UEFA European Championship => competitions
-UEFA Nations League => competitions
-Champions League => competitions
-European Championship => competitions
+Bangladesh => location
+Mishti Doi => food
+chocolate syrup => ingredient
+ice cream => dessert
+chopped nuts => ingredient
             """
         )
 
     input_text = gr.Textbox(
-        value=examples[0][1], label="Text input", placeholder="Enter your text here"
+        value=examples[0][0], label="Text input", placeholder="Enter your text here"
     )
     with gr.Row() as row:
         models = gr.Dropdown(