Update app.py

app.py

@@ -764,6 +764,9 @@ with gr.Blocks(css=css, js=js, head=head) as demo:
             lng = vincenty((0, location["lng"]), (0, avg[1])) * 1000
             locations[k]["lat"] = float(lat / 2.5 * 111 * np.sign(location["lat"]-avg[0]))
             locations[k]["lng"] = float(lng / 2.5 * 111 * np.sign(location["lng"]-avg[1]))
+            # 2.5m is height of camera on google street view car, 
+            # distance from center of sphere to pavement roughly 255 - 144 = 111 units
+            print(locations)
 
             for l, sec in enumerate(s):
                 s[l] = s[l] + 1
@@ -776,14 +779,14 @@ with gr.Blocks(css=css, js=js, head=head) as demo:
                 
             vtt = vtt + str(k+1) + "\n" + str(h[0]).zfill(2) + ":" + str(m[0]).zfill(2) + ":" + str(s[0]).zfill(2) + ".000 --> " + str(h[1]).zfill(2) + ":" + str(m[1]).zfill(2) + ":" + str(s[1]).zfill(2) + ".000\n" + str(locations[k]["lat"]) + "," + str(locations[k]["lng"]) + " " + str(locations[k]["heading"]) + "," + str(locations[k]["pitch"]) + "\n\n"
 
-        print(locations)
-        # 2.5m is height of camera on google street view car, 
-        # distance from center of sphere to pavement roughly 255 - 144 = 111 units
+        f = open("orig_result.vtt", "w")
+        f.write(vtt[0:-2])
+        f.close()
             
         # Process the video and get the path of the output video
         output_video_path = make_video(uploaded_video,encoder=model_type,blur_data=blurin,o=boffset,b=bsize)
 
-        return output_video_path + (vtt[0:-2],) #(json.dumps(locations),)
+        return output_video_path + ("orig_result.vtt",) #(json.dumps(locations),)
 
     submit.click(on_submit, inputs=[input_video, model_type, blur_in, boffset, bsize, coords], outputs=[processed_video, processed_zip, output_frame, output_mask, output_depth, coords])