Update app.py

app.py

@@ -8,7 +8,6 @@ import re
 from io import BytesIO
 
 def preprocess_data(df):
-    print("Preprocessing data...")
     
     # Renaming the 'Queries' column to 'texts'
     df.rename(columns={'Queries': 'texts'}, inplace=True)
@@ -129,12 +128,12 @@ def preprocess_data(df):
     df['texts'] = df['texts'].apply(lambda x: x.strip())  # Remove leading and trailing whitespaces
     df = df[df['texts'] != '']
 
-    print("Preprocessing completed.")
+    
 
     return df
 
 def cluster_data(df, num_clusters=5):
-    print("Clustering data...")
+    
     # Vectorize the text data
     vectorizer = TfidfVectorizer(stop_words='english')
     X = vectorizer.fit_transform(df['texts'])
@@ -150,7 +149,7 @@ def cluster_data(df, num_clusters=5):
     df['PCA1'] = principal_components[:, 0]
     df['PCA2'] = principal_components[:, 1]
 
-    print("Clustering completed.")    
+    
     return df
 
 def visualize_clusters(df):
@@ -165,18 +164,18 @@ def visualize_clusters(df):
 
 def main(file, num_clusters):
     try:
-        print("Reading the file...")
+        
         df = pd.read_excel(file)
-        print("File read successfully.")
+        
         
         df = preprocess_data(df)
         df = cluster_data(df, num_clusters)
         visualize_clusters(df)
         
-        print("Returning the dataframe.")
+        
         return df
     except Exception as e:
-        print("Error occurred:", e)
+        
         return str(e)
 
 interface = gr.Interface(