Upload 3 files

All 3 files required to kick-start with the app: The model, the requirements file and the app itself

.gitattributes

@@ -33,3 +33,4 @@ 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
+efficientnet_b0.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+import os
+import numpy as np
+import tensorflow as tf
+import keras
+import keras_cv
+from keras.models import load_model
+import cv2
+
+
+def image_predict(img_):
+    model = load_model('efficientnet_b0.keras')
+    img = cv2.cvtColor(img_, cv2.COLOR_BGR2RGB)
+    img = cv2.resize(img, dsize = [224, 224])
+    img = img / 255.0
+    img = np.expand_dims(img, axis = 0)
+
+    pred = model.predict(img, verbose = 1)
+    pred = np.argmax(pred, axis = 1)
+
+    classes = ['angry', 'happy', 'neutral', 'sad', 'suprised', 'tired']
+    if pred == 0:
+        answer = f"Facial Expression detected is: {classes[0].capitalize()}"
+    elif pred == 1:
+        answer = f"Facial Expression detected is: {classes[1].capitalize()}"
+    elif pred == 2:
+        answer = f"Facial Expression detected is: {classes[2].capitalize()}"
+    elif pred == 3:
+        answer = f"Facial Expression detected is: {classes[3].capitalize()}"
+    elif pred == 4:
+        answer = f"Facial Expression detected is: {classes[4].capitalize()}"
+    elif pred == 5:
+        answer = f"Facial Expression detected is: {classes[5].capitalize()}"
+
+    return answer
+
+
+with gr.Blocks() as demo:
+    image_ = gr.Image(label = 'Input Image to be predicted')
+    output = gr.Textbox(label = 'Prediction')
+    btn = gr.Button('Predict')
+    btn.click(fn = image_predict, inputs = [image_], outputs = output)
+
+demo.launch(share = False)

efficientnet_b0.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98c910ebdc0f8599265f2134445f6da9e744498529ec7473cd695d593a6d1d47
+size 118532155

requirements.txt

@@ -0,0 +1,5 @@
+keras==3.3.3
+opencv-python==4.9.0.80
+tensorflow==2.15.0
+numpy==1.24.4
+gradio==