upload

.gitignore

@@ -0,0 +1 @@
+flagged/

app.py

@@ -1,10 +1,23 @@
 import gradio as gr
+from nbconvert import export
+import numpy as np
+from fastai.vision.all import *
 
+learner = load_learner("model.pkl")
+categories = ('happy', 'upset')
 
-def video_flip(video):
-    return video
+def smileOrFrown(im):
+    pred,idx,probs = learner.predict(im)
+    actualPred = "happy"
+    if (pred == "human face upset"):
+        actualPred = "upset"
+    
+    return  actualPred + " " + str(dict(zip(categories, map(float, probs))))
 
-
-iface = gr.Interface(video_flip, gr.inputs.Video(source="webcam"), "playable_video")
-
-iface.launch()
+demo = gr.Interface(
+    smileOrFrown, 
+    gr.Image(source="webcam", streaming=True), 
+    "text",
+    live=True
+)
+demo.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73dcd27c7d248ec7f441c9db3dc9430f9cdf631999bc98819917cfccae0e23ad
+size 46955887