Update app.py

app.py

@@ -109,7 +109,7 @@ def proc_image(img, detector):
     features = [torch.tensor(np.array(extract_features(*object)).astype(np.float32)).to(device) for object in zip(detected_landmarks[0], detected_faces[0])]
     detected_emotions = [emo_model(facefeat).softmax(dim=0).argmax(dim=0).to("cpu") for facefeat in features]
     assert len(detected_emotions) == faces_detected, "Number of faces and emotions are mismatched!"
-    
+
     for face, has_open_eyes, label in zip(detected_faces[0], (eye_dict[eyes] for eyes in is_eye_open), detected_emotions):
         (x0, y0, x1, y1, p) = face
         res_scale = img.shape[0]/704
@@ -171,7 +171,7 @@ with stream:
         use_container_width= False
         )
         img = np.array(Image.open(frame))
-        pic.image(image_processing(img), width = 704)
+        pic.image(image_processing(img), width = None)
 
 
 recog = st.toggle(":green[Emotion recogntion]", key = "stream", value = True)