Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import pandas as pd
 
 # Load the DataFrame
-url = "TExam_new0630.csv"
+url = "TExam_new1014.csv"
 df = pd.read_csv(url, encoding='utf-8-sig')
 
 # Function to search years based on the selected mode
@@ -11,7 +11,7 @@ def search_years(search_mode, query):
         matches = df[df['YEAR'].str.startswith(query[:4])]
     elif search_mode == "Search Years by Keywords":
         keyword_list = [keyword.strip() for keyword in query.split(',')]
-        matches = df[df['KEYWORDS'].apply(lambda x: any(keyword in x for keyword in keyword_list))]
+        matches = df[df['TEXT'].apply(lambda x: any(keyword in x for keyword in keyword_list))]
     else:
         return [], "Please select exactly one search mode."
 
@@ -25,7 +25,7 @@ def get_image_html(year):
     if not match.empty:
         image_filename = match.iloc[0]['Filename']
         image_url = f'https://huggingface.co/spaces/MK-316/TCE/raw/main/TExams/{image_filename}'
-        keywords = match.iloc[0]['KEYWORDS']
+        keywords = match.iloc[0]['TEXT']
         return f"<b>🌷 Keywords:</b> 🔑 {keywords}<br><img src='{image_url}' width='800'/>"
     else:
         return "No keywords found for this year.", "No image found for this year."