Update app.py

app.py

@@ -102,9 +102,7 @@ class VideoClassifier:
         time_taken_1 = round(end - start, 3)
         # print("Time taken from video to transcript:", time_taken_1)
 
-        path = './results/frames'
-        if not os.path.exists(path):
-            os.mkdir(path)
+        
         video = cv2.VideoCapture(video_input)
         length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
         # print(f'There are {length} frames in this video')
@@ -118,15 +116,7 @@ class VideoClassifier:
             video.set(cv2.CAP_PROP_POS_FRAMES, currentframe)
             ret,frame = video.read()
             if ret:
-                # if video is still left continue creating images
-                name = './results/frames/frame' + str(currentframe) + '.jpg'
-                # writing the extracted images
-                # print ('Creating...' + name)
-                cv2.imwrite(name, frame)
-                image_paths = []
-                img_path = '/results/frames/frame' + str(currentframe) + '.jpg'
-                image_paths.append(img_path)
-                content = self.img_cap.predict_step(image_paths)
+                content = self.img_cap.predict_step([frame])
                 print("content",content)
                 caption_text.append(content[0])
                 currentframe += temp_div-1