Update app.py

app.py

@@ -7,7 +7,7 @@
 
 import sys
 import os
-
+os.system(f'pip install grad-cam')
 os.system(f'pip install dlib')
 import dlib
 import argparse
@@ -222,7 +222,7 @@ def FSFM3C_image_detection(image):
         image_results = f"The largest face in this image may be {max_prob_class} with probability: \n [{', '.join(probabilities)}]"
 
         # Generate CAM heatmap for the detected class
-        use_cuda = torch.cuda.is_available() 
+        use_cuda = torch.cuda.is_available()
         input_tensor = preprocess_image(img,
                                         mean=[0.5482207536697388, 0.42340534925460815, 0.3654651641845703],
                                         std=[0.2789176106452942, 0.2438540756702423, 0.23493893444538116])