gradio client test

app.py

@@ -5,7 +5,6 @@ from __future__ import annotations
 import argparse
 import torch
 import gradio as gr
-import gradio_client as grc
 
 from vtoonify_model import Model
 
@@ -83,12 +82,6 @@ sample_video = ['./vtoonify/data/529_2.mp4','./vtoonify/data/7154235.mp4','./vto
 sample_vid = gr.Video(label='Video file')  #for displaying the example
 example_videos = gr.components.Dataset(components=[sample_vid], samples=[[path] for path in sample_video], type='values', label='Video Examples')
 
-def print_result(x):
-    print(x, "The translated result is: {x}")
-
-client = grc.Client(space="232labs/VToonify")
-client.pprint()
-
 def main():
     args = parse_args()
     args.device = 'cuda' if torch.cuda.is_available() else 'cpu'

requirements.txt

@@ -4,5 +4,4 @@ opencv-python-headless
 Pillow
 scipy
 torch
-torchvision
-gradio_client
+torchvision