more example images+requirements.txt added

.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
+eff_quantized.onnx filter=lfs diff=lfs merge=lfs -text

app.py

@@ -18,7 +18,7 @@ def predict(img):
 
 title = "Human Emotion Detection 😭🤣🥹"
 description = "An EfficientNet ONNX quantized feature extractor computer vision model to classify images and detect the emotion of the person in it.(Uploaded image should be of a single person)"
-article = "Full Source code from scratch can be found in the huggingface Space...."
+article = "Full Source code from scratch can be found in the huggingface Space: https://huggingface.co/spaces/Victorano/human_emotion_detection"
 
 # Create examples list from "examples/" directory
 example_list = [["examples/" + example] for example in os.listdir("examples")]

detect.py

@@ -1,10 +0,0 @@
-from PIL import Image
-from io import BytesIO
-import numpy as np
-
-
-def emo_router(im):
-    print(f"the Image: {im}")
-    image = np.array(im)
-
-    return image

requirements.txt

@@ -0,0 +1,3 @@
+numpy==1.26.3
+onnxruntime==1.18.0
+gradio==4.44.0