testing secret

app.py

@@ -5,7 +5,7 @@ import onnxruntime
 import requests
 from huggingface_hub import hf_hub_download
 from PIL import Image
-# import streamlit as st
+import streamlit as st
 
 
 # Get x_scale_factor & y_scale_factor to resize image
@@ -34,16 +34,23 @@ def get_scale_factor(im_h, im_w, ref_size=512):
 MODEL_PATH = hf_hub_download('huedaya/background-remover-files', 'modnet.onnx', repo_type='dataset')
 
 
-def main(image_path, threshold):
-
-    # load secret 
-    # apiKey = st.secrets["Api-Key"]
-    # print(apiKey)
+def main(image_path, threshold, api):
 
     # read image
     im = cv2.imread(image_path)
     im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
 
+
+    # load secret 
+    apiKey = st.secrets["Api-Key"]
+    print(apiKey)
+    # if apiKey != api 
+        # image = Image.open(image_path)
+        # image = np.asarray(image)
+        # Image.fromarray(foreground)
+        
+
+
     # unify image channels to 3
     if len(im.shape) == 2:
         im = im[:, :, None]

requirements.txt

@@ -2,4 +2,5 @@ onnxruntime==1.6.0
 onnx
 opencv-python
 numpy
-huggingface_hub
+huggingface_hub
+streamlit