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.ipynb_checkpoints/app-checkpoint.py

@@ -2,6 +2,7 @@
 import gradio as gr
 from transformers import pipeline
 import numpy as np
+from PIL import Image
 age_classifier = pipeline("image-classification", model="nateraw/vit-age-classifier")
 emotion_classifier = pipeline("image-classification", model="jhoppanne/Image-Emotion-Classification")
 def pred_age_emotion(input_image):

.ipynb_checkpoints/requirements-checkpoint.txt

@@ -0,0 +1,6 @@
+# Python 3.10.14
+gradio==4.25.0
+transformers==4.37.2
+torch
+numpy
+pillow==10.3.0

app.py

@@ -2,6 +2,7 @@
 import gradio as gr
 from transformers import pipeline
 import numpy as np
+from PIL import Image
 age_classifier = pipeline("image-classification", model="nateraw/vit-age-classifier")
 emotion_classifier = pipeline("image-classification", model="jhoppanne/Image-Emotion-Classification")
 def pred_age_emotion(input_image):

requirements.txt

@@ -2,4 +2,5 @@
 gradio==4.25.0
 transformers==4.37.2
 torch
-numpy
+numpy
+pillow==10.3.0