Add valence arousal text box

app.py

@@ -49,6 +49,7 @@ def inference(path_image: str) -> Tuple:
     
     fer_dict_str = str({face.indx: face.preds["fer"].label for face in response.faces})
     au_dict_str = str({face.indx: face.preds["au"].other["multi"] for face in response.faces})
+    va_dict_str = str({face.indx: face.preds["va"].other for face in response.faces})
     deepfake_dict_str = str({face.indx: face.preds["deepfake"].label for face in response.faces})
     response_str = str(response)
     
@@ -57,7 +58,7 @@ def inference(path_image: str) -> Tuple:
     
     os.remove(path_image)
     
-    out_tuple = (pil_image, fer_dict_str, au_dict_str, deepfake_dict_str, sim_dict_str_embed, sim_dict_str_verify, response_str)
+    out_tuple = (pil_image, fer_dict_str, au_dict_str, va_dict_str, deepfake_dict_str, sim_dict_str_embed, sim_dict_str_verify, response_str)
     return out_tuple
 
 
@@ -71,6 +72,7 @@ demo=gr.Interface(
     [gr.Image(type="pil", label="Face Detection and 3D Landmarks"),
      gr.Textbox(label="Facial Expression Recognition"),
      gr.Textbox(label="Facial Action Unit Detection"),
+     gr.Textbox(label="Facial Valence Arousal"),
      gr.Textbox(label="DeepFake Detection"),
      gr.Textbox(label="Cosine similarity of Face Representation Embeddings"),
      gr.Textbox(label="Cosine similarity of Face Verification Embeddings"),