Uploaded_file to model then the results

Using Streamlit
1

hello guys ı wanna make detection streamlit webapp but ım stuck here first ı wanna upload my image then this uploaded image goes to results = model(img, size=160) then ı wanna show the results using st.image. I couldnt figure out can you help me

import glob
import torch
from urllib.request import urlretrieve
from PIL import Image
from IPython.display import Image, display
import streamlit as st
from fastai import *
from fastai.vision.widgets import *
from fastai.vision.all import *

filename = “best.pt”

class Predict:
def init(self, filename):
self.learn_inference = torch.hub.load(‘ultralytics/yolov5’, ‘custom’, path_or_model= filename)
self.img = self.get_image_from_upload()
if self.img is not None:
self.display_output()

@staticmethod
def get_image_from_upload():
    uploaded_file = st.file_uploader("Upload Files",type=['png','jpeg', 'jpg'])

    if uploaded_file is not None:
        return  PILImage.create((uploaded_file))


    return None
    
    
    

def display_output(self):
    im_paths = glob.glob(self.img)# uploaded might be problem

    for i in range(len(im_paths)):
        img = Image.open(im_paths[i])
        results = model(img, size=160)  # includes NMS
        results.print()  
        results.save()
    for imageName in glob.glob('/results/*.jpg'): 
        display(Image(filename=imageName))
        st.image(Image(filename=imageName))
        self.learn_inference.results =  self.learn_inference(self.img, size=160)  # includes NMS
        self.learn_inference.results.print()  
        self.learn_inference.results.save()
        st.image('/results/*.jpg')

if name==‘main’:
predictor = Predict(filename)