Initial Complete Deployment

app.py

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+# -*- coding: utf-8 -*-
+"""app creation.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1c8HIdMTAJxhNiPY7_kmzP78yFiwdhh8Q
+"""
+
+import gradio as gr
+from fastai import *
+from fastai.vision.all import *
+
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+model = load_learner("models/recgonizer_model.pkl")
+
+labels = ['Ayre', 'Catla', 'Chital', 'Ilish', 'Kachki', 'Kajoli', 'Koi', 'Magur', 'Mola Dhela', 'Mrigal', 'Pabda', 'Pangash', 'Poa', 'Puti', 'Rui', 'Shing', 'Silver Carp', 'Taki', 'Telapia', 'Tengra']
+
+def recognize_image(image_path):
+  label, _, probs = model.predict(image_path)
+  return dict(zip(labels, map(float, probs)))
+
+inputs = gr.Image()
+outputs = gr.Label()
+
+examples = [
+    'test images/unknown_01.jpg',
+    'test images/unknown_02.png',
+    'test images/unknown_03.jpg',
+    'test images/unknown_04.jpg',
+    'test images/unknown_05.jpg',
+    'test images/unknown_06.jpg',
+    'test images/unknown_07.jpg',
+    'test images/unknown_08.jpg',
+    'test images/unknown_09.jpg',
+    'test images/unknown_10.jpg',
+    'test images/unknown_11.jpg',
+]
+
+interface = gr.Interface(fn=recognize_image, inputs = inputs, outputs=outputs, examples = examples)
+
+interface.launch(debug=True, share=True)
+
+
+
+
+
+
+
+
+

models/recgonizer_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ffd3e4d01b67849eb16313b25a41d0ef9750c81be86682dc40bfa082d82da8c3
+size 82557344