Upload app.py

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+import fastai
+from fastai.vision.all import *
+import pathlib
+
+posix_backup = pathlib.PosixPath
+try:
+    pathlib.PosixPath = pathlib.WindowsPath
+    learn_inf = load_learner("model.pkl")
+finally:
+    pathlib.PosixPath = posix_backup
+
+
+def is_cat(x): return x[0].isupper()
+
+st.title('Happy or sad?')
+
+
+def classify(img):
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return pred
+
+
+uploaded_file = st.file_uploader("Choose an image...", type="jpg")
+if uploaded_file is not None:
+    img = PILImage.create(uploaded_file)
+    st.image(img, caption='Uploaded Image.', use_column_width=True)
+    st.write("")
+    st.write("Classifying...")
+    label = classify(img)
+    st.write(f"This is a {label} person!")