Update app.py

app.py

@@ -10,14 +10,13 @@ import platform
 import time
 from huggingface_hub import hf_hub_download
 import huggingface_hub
-# import spaces #[uncomment to use ZeroGPU]
 from diffusers import DiffusionPipeline
 import torch
 from torch import nn
 import torchvision
 
-# by default, dlib will be compiled locally when installed via pip, which takes so long it 
-# causes huggingface to time out during the build process.
+# By default, dlib will be compiled locally when installed via pip, which takes so long it 
+# Causes huggingface to time out during the build process.
 # To avoid this, check if we are running on a Linux system, and if so load a binary of dlib compiled for x86_64 Linux
 if(platform.system() == 'Linux'):    
     os.system("pip install ./dlib-19.24.99-cp310-cp310-linux_x86_64.whl")
@@ -28,12 +27,7 @@ import face_detection
 print(f"took {(time.time() - start_time) / 60} minutes to load face_recognition")
 
 
-# # Function to display the uploaded image
-# def process_image(image : PIL.Image.Image):
-#     outputs = face_detection.getCroppedImages(image)
-#     # do AI stuff here
-#     return gr.Image(outputs[0])
-
+# Change these values to switch the model you are using and the name of the weights file in this model
 model_repo_id = "CSSE416-final-project/faceRecogModel"
 weight_file_id = "modelWeights101.bin"