output csv

main.py

@@ -131,8 +131,8 @@ async def predict(file: UploadFile = File(...)):
     timestamp = int(time.time())
     input_file_path = os.path.join(current_dir, "uploads", f"input_{timestamp}.csv")
 
-    # Change output file to Excel format
-    output_file_path = os.path.join(current_dir, "outputs", f"output_{timestamp}.xlsx")
+    # Use CSV format with correct extension
+    output_file_path = os.path.join(current_dir, "outputs", f"output_{timestamp}.csv")
 
     try:
         with open(input_file_path, "wb") as buffer:
@@ -164,14 +164,18 @@ async def predict(file: UploadFile = File(...)):
         output_df.loc[:, COL_STANDARD_SUBJECT] = df_predicted[COL_STANDARD_SUBJECT]
         output_df.loc[:, COL_STANDARD_NAME] = df_predicted[COL_STANDARD_NAME]
 
-        # Save as Excel file instead of CSV for better Japanese character support
-        output_df.to_excel(output_file_path, index=False, engine="openpyxl")
+        # Save with Shift-JIS encoding for Japanese Excel compatibility
+        output_df.to_csv(output_file_path, index=False, encoding="utf_8_sig")
 
-        # Return the Excel file as a download
+        # Return the file as a download with correct content type and headers
         return FileResponse(
             path=output_file_path,
-            filename=f"output_{Path(file.filename).stem}.xlsx",
-            media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+            filename=f"output_{Path(file.filename).stem}.csv",
+            media_type="text/csv",
+            headers={
+                "Content-Disposition": f'attachment; filename="output_{Path(file.filename).stem}.csv"',
+                "Content-Type": "application/x-www-form-urlencoded",
+            },
         )
 
     except Exception as e: