update path

app.py

@@ -1,15 +1,9 @@
 import streamlit as st
 import pandas as pd
-from io import StringIO
 from fastai import *
 from fastai.vision.all import *
-import bz2file as bz2
 import pickle
 
-import pathlib
-plt = platform.system()
-if plt == 'Windows': pathlib.WindowsPath = pathlib.PosixPath
-
 header = st.container()
 inference = st.container()
 
@@ -18,14 +12,17 @@ with header:
 	st.text("Is your food Italian, French, Chinese, Indian, or Japanese?")
 
 with inference:
+    path = Path()
+    path.ls(file_exts='.pkl')
 
-    learn_inf = load_learner('export.pkl')
+    learn_inf = load_learner(path/'export.pkl')
 
     st.header('Show me your food pic!')
     st.text("(I currently accept Italian, French, Chinese, Indian, or Japanese. Otherwise, I guesss wildly!)")
     uploaded_file = st.file_uploader("Show me your food pic!")    
     if uploaded_file is not None:
         img = load_image(uploaded_file)
+        #img = PILImage.create(uploaded_file)
         pred, pred_idx, probs = learn_inf.predict(img)
         prob_value = probs[pred_idx].item()
         rounded_prob_percentage = round(prob_value * 100)