Update app.py

app.py

@@ -21,12 +21,12 @@ def load_model(version,text):
         result = ner(text)
         return result   
     else:
-        ner = pipeline('token-classification', model='bourdoiscatie/camembert-base-frenchNER_4entities', tokenizer='bourdoiscatie/camembert-base-frenchNER_4entities', grouped_entities=True)
+        ner = pipeline('token-classification', model='bourdoiscatie/camembert-base-frenchNER_4entities', tokenizer='bourdoiscatie/camembert-base-frenchNER_4entities', aggregation_strategy="max")
         result = ner(text)
         return result   
 
 def getcolor(texts, labels):
-    colors = {'LOC': '#38419D', 'PER': '#BF3131', 'ORG': '#597E52', 'MISC':'#F1C232', 'ISC':'#F1C232'}
+    colors = {'LOC': '#38419D', 'PER': '#BF3131', 'ORG': '#597E52', 'MISC':'#F1C232'}
     return [(t,l,colors[l]) for t, l in zip(texts, labels)]
 
 def color_annotation(to_print,transcript) :