Update app.py

app.py

@@ -144,7 +144,7 @@ def process_inputs(llm, file, relevance, diversity):
     if file is not None:
         # Read questions from the uploaded Excel file
         try:
-            df = pd.read_excel(file.name, engine='openpyxl')
+            df = pd.read_excel(file, engine='openpyxl')
         except Exception as e:
             return f"Failed to read Excel file: {e}", None
 
@@ -152,15 +152,26 @@ def process_inputs(llm, file, relevance, diversity):
         if df.shape[1] != 1:
             return "The uploaded file must contain only one column of questions.", None
 
+        # Extract the first column
         questions_list = df.iloc[:, 0]
 
-        # Save the first column to a new Excel file
+        # Generate prompts for each question
+        prompts_list = questions_list.apply(generate_prompts)
+
+        # Combine the questions and prompts into a DataFrame
+        output_df = pd.DataFrame({
+            'Questions': questions_list,
+            'Generated Prompts': prompts_list
+        })
+
+        # Save the DataFrame to a new Excel file
         output_file = "processed_questions.xlsx"
-        questions_list.to_frame().to_excel(output_file, index=False)
+        output_df.to_excel(output_file, index=False)
     else:
         return "No questions provided.", None
 
     return "Processing complete. Download the file below.", output_file
+```
 
 text_list = []