Update app.py

app.py

@@ -71,13 +71,13 @@ if img_file_buffer is not None:
     
     img = np.asarray(image1)
     img = cv2.resize(img,(0,0),None,0.25,0.25)
-    st.write("1")
+    st.write("resize")
 
     #image gray
     img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
     faces = face_cascade.detectMultiScale(
         image=img_gray, scaleFactor=1.3, minNeighbors=5)
-    st.write("2")
+    st.write("gray")
     for (x, y, w, h) in faces:
         cv2.rectangle(img=img, pt1=(x, y), pt2=(
             x + w, y + h), color=(255, 0, 0), thickness=2)
@@ -91,24 +91,24 @@ if img_file_buffer is not None:
             maxindex = int(np.argmax(prediction))
             finalout = emotion_dict[maxindex]
             output = str(finalout)
-            st.write("3")
+            st.write(output)
         label_position = (x, y)
         img = cv2.putText(img, output, label_position, cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
         st.image(img, use_column_width=True)
-        st.write("4")
+        st.write("emotion done")
 
     #########################
     imgS = cv2.resize(image,(0,0),None,0.25,0.25)
     imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
     facesCurFrame = face_recognition.face_locations(imgS)
     encodesCurFrame = face_recognition.face_encodings(imgS,facesCurFrame)
-    st.write("5")
+    st.write("recog")
     for encodeFace,faceLoc in zip(encodesCurFrame,facesCurFrame):
         matches = face_recognition.compare_faces(encodeListknown,encodeFace)
         faceDis = face_recognition.face_distance(encodeListknown,encodeFace)
         #print(faceDis)
         matchIndex = np.argmin(faceDis)
-        st.write("6")
+        st.write("matching")
         if matches[matchIndex]:
             name = classnames[matchIndex]
             st.write(name)
@@ -117,7 +117,7 @@ if img_file_buffer is not None:
             cv2.rectangle(image,(x1,y1),(x2,y2),(0,255,0),2)
             cv2.rectangle(image,(x1,y2-35),(x2,y2),(0,255,0),cv2.FILLED)
             cv2.putText(image,name,(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255, 255, 255),2)
-            st.write("7")
+            st.write("matched")
             ##############
             if name:
                 if output=='happy':