updates

app.py

@@ -4,28 +4,24 @@
 __all__ = ['temp', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
 
 # %% ../methane-plume-classification-yes-or-no.ipynb 2
-#import warnings
-#warnings.filterwarnings('ignore')
+import warnings
+warnings.filterwarnings('ignore')
 
 # %% ../methane-plume-classification-yes-or-no.ipynb 3
-#import pathlib
-#temp = pathlib.PosixPath
-#pathlib.PosixPath = pathlib.WindowsPath
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
 
 # %% ../methane-plume-classification-yes-or-no.ipynb 4
-#import fastbook
-#import pandas as pd
-#import numpy as np
-#import os 
+import fastbook
+import pandas as pd
+import numpy as np
+import os 
 
-
-from fastai.vision.all import *
+from fastbook import *
+from fastai.vision.widgets import *
 import gradio as gr
 
-
-learn = load_learner('methane plume detect.pkl')
-
-
 # %% ../methane-plume-classification-yes-or-no.ipynb 20
 categories = ('No Plume', 'Plume')
 

methane-plume-classification-yes-or-no.ipynb

@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -388,7 +388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {