Update app.py

app.py

@@ -19,6 +19,7 @@ from torch import nn
 import requests
 from numpy.lib.type_check import imag
 import random
+import time
 
 import csv
 import torch
@@ -169,21 +170,22 @@ def inference(image_url, image, min_score):
 
 
     # Write the measurements to a CSV file
-    with open('dmeasurements.csv', mode='w') as file:
+    filename=str(time.time())+'dmeasurements.csv'
+    with open(filename, mode='w') as file:
         writer = csv.writer(file)
         writer.writerow(['ID', 'Measurement', 'X_Min', 'X_Max', 'Y_Min', 'Y_Max'])
         for id, data in measurements.items():
             writer.writerow([id, data['measurement'], data['x_min'], data['x_max'], data['y_min'], data['y_max']])
             # Convert the CSV content to a bytes object
-        csv_bytes = io.StringIO( file).read().encode("utf-8")
-        
-        # Upload the file to Cloudinary
-        upload_result = cloudinary.uploader.upload(
-            csv_bytes,
-            resource_type = "raw",
-            folder = "csv_files"
-        )
-        # return file
+    
+    # csv_bytes = io.StringIO( file).read().encode("utf-8")
+    
+    # Upload the file to Cloudinary
+    upload_result = cloudinary.uploader.upload(
+        filename,
+        folder = "csv_files"
+    )
+    # return file
 
     return upload_result["url"]