Upload 16 files

.gitattributes

@@ -32,3 +32,4 @@ 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
+faces_resenet50_78.pk1 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+__all__ = ['learner_faces', 'categories', 'classify_faces', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+
+learner_faces = load_learner('faces_resenet50_78.pk1')
+categories = ['happy', 'sad', 'angry']
+
+def classify_faces(img):
+  prediction, index, probability = learner_pets.predict(img)
+  return dict(zip(categories, map(float, probability)))
+
+intf = gr.Interface(fn=classify_faces,
+             inputs=gr.Image(shape=(192, 192)),
+             outputs=gr.Label(),
+             examples=['face01', 'face13', `face02`, 'face07', `face10`, `face11`, `face03`,` face04`, `face12`, `face05`, `face09`, `face06`, `face08`, `face09` ])
+intf.launch(inline=False)
+
+

faces_resenet50_78.pk1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19e7777b9616d6d5b252ae2a7e52e06bd47cf8a55f588d8eac9b7215057e55a4
+size 102935445

requirements.txt

@@ -0,0 +1,9 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2706
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 fastai\
+gradio}