Added req file

.history/app_20221221161030.py

@@ -0,0 +1,25 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'calssify_images']
+
+# %% app.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+# %% app.ipynb 3
+learner = load_learner('model.pkl')
+
+categories = ('Bird', 'Drone')
+
+def calssify_images(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% app.ipynb 4
+image = gr.inputs.Image(shape = (192, 192))
+label = gr.outputs.Label()
+examples = ['BirdExample1.jpg', 'BirdExample2.jpg', 'DroneExample1.jpg', 'DroneExample2.jpg']
+
+intf = gr.Interface(fn = calssify_images, inputs = image, outputs = label, examples = examples)
+intf.launch(inline = False)

app.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {

requirements.txt

@@ -0,0 +1,5 @@
+-f https://download.pytorch.org/whl/torch_stable.html
+torch==1.8.1+cpu 
+torchvision==0.9.1+cpu
+fastai
+ipywidgets