Upload 9 files

app.py

@@ -0,0 +1,56 @@
+# Facial expression classifier
+import os
+from fastai.vision.all import *
+import gradio as gr
+
+# Emotion
+learn_emotion = load_learner('emotions_vgg19.pkl')
+learn_emotion_labels = learn_emotion.dls.vocab
+
+
+# Predict
+def predict(img):
+    img = PILImage.create(img)
+    pred_emotion, pred_emotion_idx, probs_emotion = learn_emotion.predict(img)
+    predicted_emotion = learn_emotion_labels[pred_emotion_idx]
+    return predicted_emotion
+
+
+# Gradio
+title = "Facial Emotion Detector"
+
+description = gr.Markdown(
+                """Ever wondered what a person might be feeling looking at their picture?
+                 Well, now you can! Try this fun app. Just upload a facial image in JPG or
+                 PNG format. You can now see what they might have felt when the picture
+                 was taken.
+
+                 **Tip**: Be sure to only include face to get best results. Check some sample images
+                 below for inspiration!""").value
+
+article = gr.Markdown(
+             """**DISCLAIMER:** This model does not reveal the actual emotional state of a person. Use and
+             interpret results at your own risk!. 
+
+             **PREMISE:** The idea is to determine an overall emotion of a person
+             based on the pictures. We are restricting pictures to only include close-up facial
+             images.
+
+             **DATA:** FER2013 dataset consists of 48x48 pixel grayscale images of faces.Images
+             are assigned one of the 7 emotions: Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral.
+             
+              """).value
+
+enable_queue=True
+
+examples = ['happy1.jpg', 'happy2.jpg', 'angry1.png', 'angry2.jpg', 'neutral1.jpg', 'neutral2.jpg']
+
+gr.Interface(fn = predict, 
+             inputs = gr.Image( image_mode='L'), 
+             outputs = [gr.Label(label='Emotion')], #gr.Label(),
+             title = title,
+             examples = examples,
+             description = description,
+             article=article,
+             allow_flagging='never').launch()
+

emotions_vgg1.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:335570ccf5133bc1fc0d4cc9bb7835b72fd457a64c0cdefbbc863f1c24cc4454
+size 82965753

requirements.txt

@@ -0,0 +1 @@
+fastai