Spaces:
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fp16
Browse files
app.ipynb
CHANGED
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"cells": [
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"cell_type": "code",
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"id": "44eb0ad3",
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"from fastai.vision.all import *\n",
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"import gradio as gr\n",
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"\n",
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"id": "d838c0b3",
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"outputs": [],
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"cell_type": "code",
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"id": "c107f724",
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"metadata": {},
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"outputs": [
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" <tbody>\n",
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"</table>"
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" <tr>\n",
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" <tr>\n",
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"</table>"
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},
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"cell_type": "code",
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"id": "5171c7fc",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "3295ef11",
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"metadata": {},
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"outputs": [
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@@ -188,7 +349,7 @@
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"PILImage mode=RGB size=192x191"
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "ae2bc6ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"learn = load_learner('model.pkl')"
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "6e0bf9da",
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"data": {
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{
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"data": {
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"text/plain": [
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"('False', TensorBase(0), TensorBase([9.
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "0419ed3a",
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"categories = ('Dog', 'Cat')\n",
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"\n",
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"def classify_image(img):\n",
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "762dec00",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'Dog': 0.
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "0518a30a",
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"metadata": {
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"collapsed": true
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},
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"outputs": [
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{
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"name": "stdout",
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@@ -354,113 +511,69 @@
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"\n",
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" <iframe\n",
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" width=\"900\"\n",
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" height=\"500\"\n",
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" src=\"http://127.0.0.1:7860/\"\n",
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" frameborder=\"0\"\n",
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" allowfullscreen\n",
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" \n",
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" ></iframe>\n",
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" "
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],
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"text/plain": [
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"<IPython.lib.display.IFrame at 0x7f98552d6340>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"(<fastapi.applications.FastAPI at
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" 'http://127.0.0.1:7860/',\n",
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" None)"
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"
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"image = gr.inputs.Image(shape=(192, 192))\n",
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"label = gr.outputs.Label()\n",
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"examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']\n",
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"\n",
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"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
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"intf.launch()"
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]
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},
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{
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"cell_type": "
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"
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"id": "103be39f",
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"from PIL import Image\n",
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"from io import BytesIO"
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "
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"metadata": {},
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"outputs": [],
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"source": [
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"
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" image = PILImage.create(filename)\n",
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" image.thumbnail(size)\n",
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" buff = BytesIO()\n",
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" image.save(buff, format=\"JPEG\")\n",
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" prefix = f'data:image/{Path(filename).suffix[1:]};base64,'\n",
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" return prefix + base64.b64encode(buff.getvalue()).decode('utf-8')"
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"
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" 'flag_index': None,\n",
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" 'updated_state': None,\n",
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" 'durations': [0.0977640151977539],\n",
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" 'avg_durations': [0.0977640151977539]}"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"
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"res = requests.post(url='https://hf.space/embed/jph00/testing/+/api/predict/', json=data).json()\n",
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"res"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "
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"metadata": {},
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"outputs": [],
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"source": []
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@@ -471,31 +584,6 @@
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.5"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": false,
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"sideBar": true,
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"skip_h1_title": false,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "18acb717",
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"metadata": {},
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"outputs": [],
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"source": [
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"#|default_exp app"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "44eb0ad3",
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"metadata": {},
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"outputs": [],
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"source": [
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"#|export\n",
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"from fastai.vision.all import *\n",
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"import gradio as gr\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d838c0b3",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c107f724",
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"metadata": {},
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"outputs": [
|
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.209574</td>\n",
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" <td>0.081121</td>\n",
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" <td>0.022327</td>\n",
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" <td>00:24</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>"
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|
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.090262</td>\n",
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" <td>0.056602</td>\n",
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" <td>0.017591</td>\n",
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" <td>00:23</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>1</td>\n",
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" <td>0.035389</td>\n",
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" <td>0.037754</td>\n",
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" <td>0.014208</td>\n",
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" <td>00:22</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>2</td>\n",
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" <td>0.013607</td>\n",
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" <td>0.038817</td>\n",
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" <td>0.012179</td>\n",
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" <td>00:22</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bed928f3",
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"metadata": {},
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"outputs": [],
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"source": [
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"path = untar_data(URLs.PETS)/'images'\n",
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"\n",
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"dls = ImageDataLoaders.from_name_func('.',\n",
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" get_image_files(path), valid_pct=0.2, seed=42,\n",
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" label_func=is_cat,\n",
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" item_tfms=Resize(192))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7e56b200",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
|
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+
"text/html": [
|
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"<table border=\"1\" class=\"dataframe\">\n",
|
227 |
+
" <thead>\n",
|
228 |
+
" <tr style=\"text-align: left;\">\n",
|
229 |
+
" <th>epoch</th>\n",
|
230 |
+
" <th>train_loss</th>\n",
|
231 |
+
" <th>valid_loss</th>\n",
|
232 |
+
" <th>error_rate</th>\n",
|
233 |
+
" <th>time</th>\n",
|
234 |
+
" </tr>\n",
|
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+
" </thead>\n",
|
236 |
+
" <tbody>\n",
|
237 |
+
" <tr>\n",
|
238 |
+
" <td>0</td>\n",
|
239 |
+
" <td>0.184049</td>\n",
|
240 |
+
" <td>0.038403</td>\n",
|
241 |
+
" <td>0.010825</td>\n",
|
242 |
+
" <td>00:21</td>\n",
|
243 |
+
" </tr>\n",
|
244 |
+
" </tbody>\n",
|
245 |
+
"</table>"
|
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|
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"text/plain": [
|
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"<IPython.core.display.HTML object>"
|
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]
|
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|
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"metadata": {},
|
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"output_type": "display_data"
|
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|
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+
{
|
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"data": {
|
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+
"text/html": [
|
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"\n",
|
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"<style>\n",
|
259 |
+
" /* Turns off some styling */\n",
|
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+
" progress {\n",
|
261 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
262 |
+
" border: none;\n",
|
263 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
264 |
+
" background-size: auto;\n",
|
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+
" }\n",
|
266 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
267 |
+
" background: #F44336;\n",
|
268 |
+
" }\n",
|
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+
"</style>\n"
|
270 |
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],
|
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"text/plain": [
|
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"<IPython.core.display.HTML object>"
|
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]
|
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},
|
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"metadata": {},
|
276 |
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"output_type": "display_data"
|
277 |
+
},
|
278 |
+
{
|
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+
"data": {
|
280 |
+
"text/html": [
|
281 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
282 |
+
" <thead>\n",
|
283 |
+
" <tr style=\"text-align: left;\">\n",
|
284 |
+
" <th>epoch</th>\n",
|
285 |
+
" <th>train_loss</th>\n",
|
286 |
+
" <th>valid_loss</th>\n",
|
287 |
+
" <th>error_rate</th>\n",
|
288 |
+
" <th>time</th>\n",
|
289 |
+
" </tr>\n",
|
290 |
+
" </thead>\n",
|
291 |
+
" <tbody>\n",
|
292 |
+
" <tr>\n",
|
293 |
+
" <td>0</td>\n",
|
294 |
+
" <td>0.075693</td>\n",
|
295 |
+
" <td>0.042666</td>\n",
|
296 |
+
" <td>0.013532</td>\n",
|
297 |
+
" <td>00:24</td>\n",
|
298 |
+
" </tr>\n",
|
299 |
+
" <tr>\n",
|
300 |
+
" <td>1</td>\n",
|
301 |
+
" <td>0.038955</td>\n",
|
302 |
+
" <td>0.018082</td>\n",
|
303 |
+
" <td>0.006089</td>\n",
|
304 |
+
" <td>00:22</td>\n",
|
305 |
+
" </tr>\n",
|
306 |
+
" <tr>\n",
|
307 |
+
" <td>2</td>\n",
|
308 |
+
" <td>0.016343</td>\n",
|
309 |
+
" <td>0.018480</td>\n",
|
310 |
+
" <td>0.004736</td>\n",
|
311 |
+
" <td>00:24</td>\n",
|
312 |
+
" </tr>\n",
|
313 |
+
" </tbody>\n",
|
314 |
+
"</table>"
|
315 |
+
],
|
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+
"text/plain": [
|
317 |
+
"<IPython.core.display.HTML object>"
|
318 |
+
]
|
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+
},
|
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+
"metadata": {},
|
321 |
+
"output_type": "display_data"
|
322 |
+
}
|
323 |
+
],
|
324 |
+
"source": [
|
325 |
+
"learn = vision_learner(dls, resnet18, metrics=error_rate).to_fp16()\n",
|
326 |
+
"learn.fine_tune(3)"
|
327 |
+
]
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"cell_type": "code",
|
331 |
+
"execution_count": null,
|
332 |
"id": "5171c7fc",
|
333 |
"metadata": {},
|
334 |
"outputs": [],
|
|
|
338 |
},
|
339 |
{
|
340 |
"cell_type": "code",
|
341 |
+
"execution_count": null,
|
342 |
"id": "3295ef11",
|
343 |
"metadata": {},
|
344 |
"outputs": [
|
|
|
349 |
"PILImage mode=RGB size=192x191"
|
350 |
]
|
351 |
},
|
352 |
+
"execution_count": null,
|
353 |
"metadata": {},
|
354 |
"output_type": "execute_result"
|
355 |
}
|
|
|
362 |
},
|
363 |
{
|
364 |
"cell_type": "code",
|
365 |
+
"execution_count": null,
|
366 |
"id": "ae2bc6ac",
|
367 |
"metadata": {},
|
368 |
"outputs": [],
|
369 |
"source": [
|
370 |
+
"#|export\n",
|
371 |
"learn = load_learner('model.pkl')"
|
372 |
]
|
373 |
},
|
374 |
{
|
375 |
"cell_type": "code",
|
376 |
+
"execution_count": null,
|
377 |
"id": "6e0bf9da",
|
378 |
+
"metadata": {},
|
|
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|
|
379 |
"outputs": [
|
380 |
{
|
381 |
"data": {
|
|
|
414 |
{
|
415 |
"data": {
|
416 |
"text/plain": [
|
417 |
+
"('False', TensorBase(0), TensorBase([9.9999e-01, 8.4523e-06]))"
|
418 |
]
|
419 |
},
|
420 |
+
"execution_count": null,
|
421 |
"metadata": {},
|
422 |
"output_type": "execute_result"
|
423 |
}
|
|
|
428 |
},
|
429 |
{
|
430 |
"cell_type": "code",
|
431 |
+
"execution_count": null,
|
432 |
"id": "0419ed3a",
|
433 |
"metadata": {},
|
434 |
"outputs": [],
|
435 |
"source": [
|
436 |
+
"#|export\n",
|
437 |
"categories = ('Dog', 'Cat')\n",
|
438 |
"\n",
|
439 |
"def classify_image(img):\n",
|
|
|
443 |
},
|
444 |
{
|
445 |
"cell_type": "code",
|
446 |
+
"execution_count": null,
|
447 |
"id": "762dec00",
|
448 |
"metadata": {},
|
449 |
"outputs": [
|
|
|
484 |
{
|
485 |
"data": {
|
486 |
"text/plain": [
|
487 |
+
"{'Dog': 0.9999915361404419, 'Cat': 8.452258043689653e-06}"
|
488 |
]
|
489 |
},
|
490 |
+
"execution_count": null,
|
491 |
"metadata": {},
|
492 |
"output_type": "execute_result"
|
493 |
}
|
|
|
498 |
},
|
499 |
{
|
500 |
"cell_type": "code",
|
501 |
+
"execution_count": null,
|
502 |
"id": "0518a30a",
|
503 |
+
"metadata": {},
|
|
|
|
|
504 |
"outputs": [
|
505 |
{
|
506 |
"name": "stdout",
|
|
|
511 |
"To create a public link, set `share=True` in `launch()`.\n"
|
512 |
]
|
513 |
},
|
|
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|
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|
514 |
{
|
515 |
"data": {
|
516 |
"text/plain": [
|
517 |
+
"(<fastapi.applications.FastAPI at 0x7fa03ba47670>,\n",
|
518 |
" 'http://127.0.0.1:7860/',\n",
|
519 |
" None)"
|
520 |
]
|
521 |
},
|
522 |
+
"execution_count": null,
|
523 |
"metadata": {},
|
524 |
"output_type": "execute_result"
|
525 |
}
|
526 |
],
|
527 |
"source": [
|
528 |
+
"#|export\n",
|
529 |
"image = gr.inputs.Image(shape=(192, 192))\n",
|
530 |
"label = gr.outputs.Label()\n",
|
531 |
"examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']\n",
|
532 |
"\n",
|
533 |
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
|
534 |
+
"intf.launch(inline=False)"
|
535 |
]
|
536 |
},
|
537 |
{
|
538 |
+
"cell_type": "markdown",
|
539 |
+
"id": "0d1e90ce",
|
|
|
540 |
"metadata": {},
|
|
|
541 |
"source": [
|
542 |
+
"## end -"
|
|
|
|
|
543 |
]
|
544 |
},
|
545 |
{
|
546 |
"cell_type": "code",
|
547 |
+
"execution_count": null,
|
548 |
+
"id": "82774c08",
|
549 |
"metadata": {},
|
550 |
"outputs": [],
|
551 |
"source": [
|
552 |
+
"from nbdev.export import notebook2script"
|
|
|
|
|
|
|
|
|
|
|
|
|
553 |
]
|
554 |
},
|
555 |
{
|
556 |
"cell_type": "code",
|
557 |
+
"execution_count": null,
|
558 |
+
"id": "7a880da1",
|
559 |
+
"metadata": {},
|
|
|
|
|
560 |
"outputs": [
|
561 |
{
|
562 |
+
"name": "stdout",
|
563 |
+
"output_type": "stream",
|
564 |
+
"text": [
|
565 |
+
"Converted app.ipynb.\n"
|
566 |
+
]
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
567 |
}
|
568 |
],
|
569 |
"source": [
|
570 |
+
"notebook2script('app.ipynb')"
|
|
|
|
|
571 |
]
|
572 |
},
|
573 |
{
|
574 |
"cell_type": "code",
|
575 |
"execution_count": null,
|
576 |
+
"id": "1a349335",
|
577 |
"metadata": {},
|
578 |
"outputs": [],
|
579 |
"source": []
|
|
|
584 |
"display_name": "Python 3 (ipykernel)",
|
585 |
"language": "python",
|
586 |
"name": "python3"
|
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|
587 |
}
|
588 |
},
|
589 |
"nbformat": 4,
|
app.py
CHANGED
@@ -24,4 +24,4 @@ label = gr.outputs.Label()
|
|
24 |
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
|
25 |
|
26 |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
27 |
-
intf.launch()
|
|
|
24 |
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
|
25 |
|
26 |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
27 |
+
intf.launch(inline=False)
|
model.pkl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:46eee60a5eac1402f8402ce1915230e6ca75d8d05c35c4e9500eadf2e39c525a
|
3 |
+
size 47062827
|