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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+test_images/unknown_flower_04.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,78 @@
+# -*- coding: utf-8 -*-
+"""Flower-recognition-app.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1Oxv1S-3SmLY0i0vKtlsduK8RVcj4EccJ
+"""
+
+# Commented out IPython magic to ensure Python compatibility.
+# %reload_ext autoreload
+# %autoreload 2
+# %matplotlib inline
+bs = 32 # batch size
+
+version = 2
+
+# Installing all 3 libraries in one go: fastai, fastbook, nbdev
+#!pip install -Uqq fastai fastbook nbdev
+
+#!pip install gradio==3.50.0
+
+from fastai import *
+#from fastbook import *
+from fastai.vision.all import *
+
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+# Commented out IPython magic to ensure Python compatibility.
+# %cd /content/drive/My Drive/Mastercourse/Flower recognizer
+
+flower_labels = [
+        'Beli flower',
+        'Gada flower',
+        'Joba flower',
+        'Kamini flower',
+        'Kodom flower',
+        'Palash flower',
+        'Rose flower',
+        'Sheuli flower',
+        'Sunflower flower',
+        'Water Lily'
+]
+
+img_path = 'test_images'
+model_path = f'models/flower-recognizer-v{version}.pkl'
+
+#load the model from the pickle file
+model = load_learner(model_path)
+
+# Defining a function to recognize an image
+def recognize_image(image):
+  pred, idx, probs = model.predict(image)
+  return dict(zip(flower_labels, map(float, probs)))
+
+img = PILImage.create(f'test_images/unknown_flower_00.jpg')
+img.thumbnail((192,192))
+img
+
+recognize_image(img)
+
+import gradio as gr
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = [
+    'test_images/unknown_flower_00.jpg',
+    'test_images/unknown_flower_01.jpg',
+    'test_images/unknown_flower_02.jpg',
+    'test_images/unknown_flower_03.jpg',
+    'test_images/unknown_flower_04.jpg',
+    'test_images/unknown_flower_05.jpg',
+    ]
+
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(share=True)

flower_dataloader_v0.pkl

@@ -0,0 +1,3 @@
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+size 182593

flower_dataloader_v1.pkl

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+size 182593

flower_dataloader_v2.pkl

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+size 182465

models/cap-recognizer-v0.pth

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models/flower-recognizer-v0.pth

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models/flower-recognizer-v1.pth

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models/flower-recognizer-v2.pkl

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models/flower-recognizer-v2.pth

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