Update app.py

app.py

@@ -102,7 +102,7 @@ class VideoClassifier:
         time_taken_1 = round(end - start, 3)
         # print("Time taken from video to transcript:", time_taken_1)
 
-        path = './frames'
+        path = './results/frames'
         if not os.path.exists(path):
             os.mkdir(path)
         video = cv2.VideoCapture(video_input)
@@ -119,12 +119,12 @@ class VideoClassifier:
             ret,frame = video.read()
             if ret:
                 # if video is still left continue creating images
-                name = './frames/frame' + str(currentframe) + '.jpg'
+                name = './results/frames/frame' + str(currentframe) + '.jpg'
                 # writing the extracted images
                 # print ('Creating...' + name)
                 cv2.imwrite(name, frame)
                 image_paths = []
-                img_path = '/frames/frame' + str(currentframe) + '.jpg'
+                img_path = '/results/frames/frame' + str(currentframe) + '.jpg'
                 image_paths.append(img_path)
                 content = self.img_cap.predict_step(image_paths)
                 print("content",content)