delete main.py

main.py

@@ -1,28 +0,0 @@
-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
-
-header = st.container()
-inference = st.container()
-
-with header:
-	st.title("Cuisine Classifier")
-	st.text("Is your food Italian, French, Chinese, Indian, or Japanese?")
-
-with inference:
-
-    learn_inf = load_learner('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)
-        pred, pred_idx, probs = learn_inf.predict(img)
-        prob_value = probs[pred_idx].item()
-        rounded_prob_percentage = round(prob_value * 100)
-        st.text(f"This is {pred}, isn't it? Believe me, I am {rounded_prob_percentage}% sure!")