Update app.py

app.py

@@ -49,11 +49,18 @@ def classify_compliant(text):
 title="Customer Complaints Categorization"
 description = """This application uses fine-tune BERT to perform Customer Complaints Categorization.BERT models are usually pretrained on a large corpus of text and then fine tuned for specific tasks.
 Effectively handling customer complaints provides an opportunity for the service provider to resolve the customer’s problems on time and thus reduce dissatisfaction levels.
-Write a complaint on an insurance product or service and see how the machine learning model is able to Categorisation your Complaint"""
+Write a complaint on an insurance product or service and see how the machine learning model is able to Categorisation your Complaint.
+The Complaints Type are:
+-Debt Collection
+-False Claim or Statement
+-Legal Issue
+-Improper contact or sharing of info
+-Follow Up Issue
+"""
 article = """
             - Click submit button to test Consumer Complaint Segmentation
             - Click the clear button to refresh the text
-            - This application has a linked model https://huggingface.co/ThirdEyeData/Consumer-Complaint-Categorization
+            - This application has a linked model https://huggingface.co/ThirdEyeData/Consumer-Complaint-Categorization 
            """
 
 demo = gr.Interface(classify_compliant,