Intial setup for testing

app.py

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+import numpy as np
+from deepface import DeepFace
+
+
+def save_identity(image , name):
+  try:
+    embeddings = DeepFace.represent(image , model_name="Facenet")
+    return str(embeddings)
+  except Exception as error:
+    return str(error)
+
+
+# image_input = gr.inputs.Image(shape=(160,160))
+label_output = gr.outputs.Textbox()
+
+# Create the Gradio interface
+# gr.Interface(fn=predict_image, inputs=image_input, outputs=label_output).launch()
+
+
+# Create Gradio interfaces for input and output
+image_input = gr.inputs.Image(shape=(160, 160))
+label_input = gr.inputs.Textbox(label="Enter Label")
+output_image = gr.outputs.Image()
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=predict_image,
+    inputs=[image_input, label_input],
+    outputs=label_output,
+    title="Face Identification",
+    description="Upload an image, enter a label, and get the output image.",
+)
+
+# Launch the Gradio interface
+interface.launch()

requirements.txt

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+numpy
+deepface