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import gradio as gr
import os
import torch
#Repo.clone_from("https://github.com/ultralytics/yolov5", "./content")
#subprocess.run(["git","clone", "https://github.com/ultralytics/yolov5"])
'''gdd.download_file_from_google_drive(file_id='1xJcr1zuuoC6bbu6wGvmyw5dl0mUEi-Jn',
dest_path='content/train_data.zip',
unzip=True)
gdd.download_file_from_google_drive(file_id='1UJ9Y2mw2KBRY0tO-TnBs5RALLya6C2dW',
dest_path='content/video.zip',
unzip=True) '''
#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', force_reload=True)
def detect(inp):
output=model(inp)
#outPath=
#out_path='./yolov5/runs/detect/exp/'+inp_vid.split('/')[2]
return output
inp=gr.inputs.Image()
output=gr.outputs.Image()
io=gr.Interface(fn=detect, inputs=inp, outputs=output, title='Party Symbol Detection',examples=['content/4.jpg'])
io.launch(debug=True,share=True)