Upload Deepface_analyze.py

Deepface_analyze.py

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+import gradio as gr
+import pathlib
+from deepface import DeepFace
+
+#db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/blob/main/MyPhotos'
+
+#db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/commit/c65e002550d4c148da1bb94c114373b2272f4d88#d2h-994579/'
+db_path= [[path.as_posix()] for path in sorted(pathlib.Path('Image_DATA').rglob('*.j*g'))]
+
+#from datasets import load_dataset
+#db_path= load_dataset("imagefolder", data_files=db_path)
+
+
+import pandas as pd
+def get_deepface(image):
+    df = DeepFace.find(img_path=image, db_path=db_path)
+    d = DeepFace.analyze(img_path=image)
+    #new_list = zip(d.keys(), d.values()) 
+    #new_list = list(new_list)
+    return d
+ 
+description = "Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace and Dlib."
+
+facial_attribute_demo = gr.Interface(
+    fn=get_deepface,
+    inputs="image",
+    outputs=['text'],
+    title="face recognition and facial attribute analysis",
+    description=description,
+    enable_queue=True,
+    examples=[["10Jan_1.jpeg"]],
+    cache_examples=False)
+
+facial_attribute_demo.launch()