Update app.py

app.py

@@ -14,30 +14,30 @@ for i in range(len(df)):
     context += " "
   context_data.append(context)
 
-# context_data # Initialize the list to store context data
-
-# for i in range(len(df1)):  # Iterate through the rows of df1
-#     context = ""
-#     for j in range(19):  # Iterate through the first 19 columns
-#         context += df1.columns[j]  # Add the column name
-#         context += ": "
-#         context += str(df1.iloc[i][j])  # Convert the value to a string
-#         context += " "  # Add a space between entries
-#     context_data.append(context)  # Append the generated context to the list
-
-
 context_data # Initialize the list to store context data
 
-for i in range(len(df11)):  # Iterate through the rows of df1
+for i in range(len(df1)):  # Iterate through the rows of df1
     context = ""
-    for j in range(17):  # Iterate through the first 19 columns
-        context += df11.columns[j]  # Add the column name
+    for j in range(19):  # Iterate through the first 19 columns
+        context += df1.columns[j]  # Add the column name
         context += ": "
-        context += str(df11.iloc[i][j])  # Convert the value to a string
+        context += str(df1.iloc[i][j])  # Convert the value to a string
         context += " "  # Add a space between entries
     context_data.append(context)  # Append the generated context to the list
 
 
+# context_data # Initialize the list to store context data
+
+# for i in range(len(df11)):  # Iterate through the rows of df1
+#     context = ""
+#     for j in range(17):  # Iterate through the first 19 columns
+#         context += df11.columns[j]  # Add the column name
+#         context += ": "
+#         context += str(df11.iloc[i][j])  # Convert the value to a string
+#         context += " "  # Add a space between entries
+#     context_data.append(context)  # Append the generated context to the list
+
+
 
 import os