Update app.py

app.py

@@ -25,12 +25,36 @@ def greet(name):
     df2=pd.read_csv("names.csv")
     my_custom_list2=df2.values.tolist()
 
+    encodings=my_custom_list
+    names=my_custom_list2
     # creating a image object (main image) 
     im1 = Image.fromarray(name)
     # save a image using extension
     im1 = im1.save(test_image_path)
     test_image = face_recognition.load_image_file(test_image_path)
-    return len(df)
+    #test_image_path="/content/cropped_images/chris_evans/chris_evans1.png"
+    known_face_encodings=encodings
+    known_face_names=names
+    face_names=[]
+    test_image = face_recognition.load_image_file(test_image_path)
+    test_face_encodings = face_recognition.face_encodings(test_image)
+    for face_encoding in test_face_encodings:
+      matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
+      name = "Unknown"
+      # Or instead, use the known face with the smallest distance to the new face
+      face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
+      best_match_index = np.argmin(face_distances)
+      if matches[best_match_index]:name = known_face_names[best_match_index]
+      face_names.append(name)
+    #print("All faces found in an image for test_image are:-")
+    if face_names==[]:return("unknown")
+    else:return(*face_names)
+    
+        
+
+
+
+    
 
 iface = gr.Interface(fn=greet, inputs=gr.inputs.Image(), outputs="text")
 iface.launch()