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Browse files- app.ipynb +67 -34
- requirements.txt +1 -1
app.ipynb
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"cells": [
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Gradio Pets"
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" 'beit_large_patch16_512']"
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"outputs": [
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"PILImage mode=RGB size=224x149"
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" 9.5551e-06]))"
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"outputs": [
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" 'yorkshire_terrier': 9.555054930387996e-06}"
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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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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"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
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"intf.launch()"
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" 'avg_durations': [1.2002585530281067]}"
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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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"nbformat": 4,
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"cells": [
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"cell_type": "markdown",
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"id": "7195af18",
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"metadata": {},
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"source": [
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"## Gradio Pets"
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},
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{
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"cell_type": "code",
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"outputs": [
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" 'beit_large_patch16_512']"
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"outputs": [
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" 'yorkshire_terrier': 9.555054930387996e-06}"
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"id": "4f463e23",
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"source": [
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"#export\n",
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"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
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"intf.launch(server_port=3000, inline=False)"
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"data": {
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" 'avg_durations': [1.2002585530281067]}"
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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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"language_info": {
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"name": "ipython",
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"version": 3
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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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"toc": {
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"nav_menu": {},
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"nbformat": 4,
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requirements.txt
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fastai>2.6.
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timm
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fastai>2.6.1
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timm
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