Added corrected pathing

app.py

@@ -1,11 +1,23 @@
 import gradio as gr
 from fastai.vision.all import load_learner
 from PIL import Image
+
+from contextlib import contextmanager
 import pathlib
-temp = pathlib.PosixPath
-pathlib.PosixPath = pathlib.WindowsPath
 
-model = load_learner('export.pkl')
+@contextmanager
+def set_posix_posix():
+    windows_backup = pathlib.WindowsPath
+    try:
+        pathlib.WindowsPath = pathlib.PosixPath
+        yield
+    finally:
+        pathlib.PosixPath = windows_backup
+
+EXPORT_PATH = pathlib.Path("export.pkl")
+
+with set_posix_posix():
+    learn_inf = load_learner(EXPORT_PATH)
 
 def classify_image(img):
     """Classifies an image according to three categories: dung beetle, elephant, or dolphin.
@@ -19,9 +31,9 @@ def classify_image(img):
     # Convert the image to a format the model expects
     img = Image.fromarray(img.astype('uint8'), 'RGB')
     # Make a prediction
-    probs = model.predict(img)
+    pred_class, pred_idx, probs = learn_inf.predict(img)
     # Return the result
-    return {model.dls.vocab[i]: float(probs[i]) for i in range(len(model.dls.vocab))}
+    return {learn_inf.dls.vocab[i]: float(probs[i]) for i in range(len(learn_inf.dls.vocab))}
 
 demo = gr.Interface(
     title = "A dung beetle / dolphin / elephant image classifier",

flagged/log.csv

@@ -0,0 +1,2 @@
+"Upload an image of a dung beetle, a dolphin, or an elephant!",output,flag,username,timestamp
+"{""path"":""flagged\\Upload an image of a dung beetle a dolphin or an elephant\\5593e3689a8a3612b2ac\\5195.webp"",""url"":""http://127.0.0.1:7860/file=C:\\Users\\tyler\\AppData\\Local\\Temp\\gradio\\ef6af2aa9c44ce9f8a7439c4dfcb710e94e0af62\\5195.webp"",""size"":95736,""orig_name"":""5195.webp"",""mime_type"":""""}","{""label"":null,""confidences"":null}",,,2023-11-25 12:53:53.130800