new preprocessing function added

app.py

@@ -31,19 +31,19 @@
 import gradio as gr
 from transformers import pipeline
 import re
-def clean_text(text):
-    # Remove mentions (@username)
-    text = re.sub(r'@\w+', '', text)
+# def clean_text(text):
+#     # Remove mentions (@username)
+#     text = re.sub(r'@\w+', '', text)
     
-    # Remove URLs
-    text = re.sub(r'http\S+|www\S+', '', text)
+#     # Remove URLs
+#     text = re.sub(r'http\S+|www\S+', '', text)
     
     
-    # Remove special characters, numbers, and extra spaces
-    text = re.sub(r'[^a-zA-Z\s]', '', text)  # Keep only letters and spaces
-    text = re.sub(r'\s+', ' ', text).strip()  # Remove extra spaces
+#     # Remove special characters, numbers, and extra spaces
+#     text = re.sub(r'[^a-zA-Z\s]', '', text)  # Keep only letters and spaces
+#     text = re.sub(r'\s+', ' ', text).strip()  # Remove extra spaces
 
-    return text
+#     return text
 
 
 # Define the mapping from label to human-readable status
@@ -57,7 +57,7 @@ classifier = pipeline("text-classification", model="coldnasser/depression-anxiet
 
 def predict(text):
     try:
-        text=clean_text(text=text)
+        # text=clean_text(text=text)
         result = classifier(text)[0]  # Get the first result
         label = result['label']
         score = result['score']