update model

app.py

@@ -6,12 +6,10 @@ import nltk
 # Check if the resource is available; if not, download it
 nltk.download("averaged_perceptron_tagger")
 
-# Your existing app code follows
-
 token = os.getenv("HF_TOKEN")
 get_completion = pipeline(
     "newsagency-ner",
-    model="impresso-project/ner-newsagency-bert-fr",
+    model="impresso-project/ner-newsagency-bert-multilingual",
     trust_remote_code=True,
     revision="main",
     token=token,
@@ -27,13 +25,13 @@ demo = gr.Interface(
     fn=ner,
     inputs=[
         gr.Textbox(
-            label="Find the news agency mentions in the following text in French:",
+            label="Find the news agency mentions in the following text:",
             lines=2,
         )
     ],
     outputs=[gr.HighlightedText(label="Text with news agency mentions")],
-    title="News Agency Recognition with impresso-project/bert-newsagency-ner-fr",
-    description="Find entities using the `impresso-project/bert-newsagency-ner-fr` model under the hood!",
+    title="News Agency Recognition with impresso-project/ner-newsagency-bert-multilingual",
+    description="Find entities using the `impresso-project/ner-newsagency-bert-multilingual` model under the hood!",
     allow_flagging="never",
     # Here we introduce a new tag, examples, easy to use examples for your application
     examples=[