import gradio as gr
import os
import torch
from PIL import Image

                           
#subprocess.run(["mv","content/custom_data.yaml","./yolov5/data"])         

def find(name, path):
 for root, dirs, files in os.walk(path):
  if name in files:
   return os.path.join(root, name)

model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt')
model.conf = 0.33  
#, force_reload=True
def detect(inp):
 #g = (size / max(inp.size))  # gain
 #im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
 results = model(inp,size=640)  # inference
 results.render()  # updates results.imgs with boxes and labels
 return Image.fromarray(results.imgs[0])
 

inp = gr.inputs.Image(type='pil', label="Original Image")
output = gr.outputs.Image(type="pil", label="Output Image")


io=gr.Interface(fn=detect, inputs=inp, outputs=output, title='Party Symbol Detection',examples=['Content/4.jpg'])
io.launch(debug=True,share=True)