Update app.py

app.py

@@ -65,13 +65,11 @@ if img_file_buffer is not None:
     
     img = np.asarray(image1)
     img = cv2.resize(img,(0,0),None,0.25,0.25)
-    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("gray")
     try:
         for (x, y, w, h) in faces:
             cv2.rectangle(img=img, pt1=(x, y), pt2=(
@@ -90,7 +88,6 @@ if img_file_buffer is not None:
             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("emotion done")
     except:
         st.write("face is not clear")
 
@@ -99,13 +96,10 @@ if img_file_buffer is not None:
     imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
     facesCurFrame = face_recognition.face_locations(imgS)
     encodesCurFrame = face_recognition.face_encodings(imgS,facesCurFrame)
-    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("matching")
         if matches[matchIndex]:
             name = classnames[matchIndex]
             st.write(name)
@@ -113,8 +107,8 @@ if img_file_buffer is not None:
             y1, x2, y2, x1 = y1*4,x2*4,y2*4,x1*4
             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("matched")
+            cv2.putText(image,name,(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255, 255, 255),2
+            st.image(image, use_column_width=True)
             ##############
             if name:
                 if output=='happy':
@@ -139,5 +133,5 @@ if img_file_buffer is not None:
 
 
         else:
-            st.write("FAiled")
+            st.write("Failed")