Update src/streamlit_app.py

src/streamlit_app.py

@@ -85,11 +85,17 @@ if 'chat_history' not in st.session_state:
 # Load FAQ Data
 @st.cache_data
 def load_faq_data():
-    """Load FAQ data from Google Sheets"""
-    sheet_url = "https://docs.google.com/spreadsheets/d/1ZJ8zCGq6iLTQv6Qzw1dsHvEj1Zo3qeTf/export?format=csv"
+    """Load FAQ data from local CSV file"""
     
     try:
-        df = pd.read_csv(sheet_url, skiprows=1)  # Skip the header row with title
+        # Try to read from local file first
+        if os.path.exists('faq_data.csv'):
+            df = pd.read_csv('faq_data.csv', skiprows=1)
+        elif os.path.exists('src/faq_data.csv'):
+            df = pd.read_csv('src/faq_data.csv', skiprows=1)
+        else:
+            st.error("❌ faq_data.csv not found. Please upload the CSV file.")
+            return None
         
         # Set proper column names
         df.columns = ['No', 'Category', 'Rarety', 'Questions', 'Additional Questions Data (image)', 
@@ -99,10 +105,10 @@ def load_faq_data():
         df.columns = df.columns.str.strip()
         df = df[df['Questions'].notna() & (df['Questions'] != '') & (df['Questions'].str.len() > 5)]
         
+        st.success(f"✅ تم تحميل {len(df)} سؤال بنجاح!")
         return df
     except Exception as e:
         st.error(f"Error loading FAQ data: {e}")
-        st.error(f"Please check if the Google Sheet is publicly accessible")
         return None
 
 # Load embedding model