Update app.py

app.py

@@ -164,7 +164,7 @@ def detect_Custom(img):
                         vid_writer = cv2.VideoWriter(save_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
                     vid_writer.write(im0)
 
-    output_text = ''
+    output_text = 'This is not a valid Passport'
     text = pytesseract.image_to_string(Image.open('MRZ_1.png'))
     text = text.replace(" ", "")
     text=text[22:28]
@@ -189,9 +189,7 @@ def detect_Custom(img):
 output = gr.Textbox(label="Output",elem_id="opbox")
 Custom_description="<center>Custom Training Performed on Colab <a href='https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolov7-object-detection-on-custom-data.ipynb?authuser=2#scrollTo=1iqOPKjr22mL' style='text-decoration: underline' target='_blank'>Link</a> </center><br> <center>Model trained with test dataset of 'aadhar-card', 'credit-card','prescription' and 'passport' </center>"
 
-Footer = (
-    "<center>Model Trained by: IIT Team Informatica for Hackathon 2023</center>"
-)
+Footer = ("<center>Model Trained by: IIT Team Informatica for Hackathon 2023</center>")
 
 examples1=[["Image1.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["Image2.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["Image3.jpeg", "Yolo_v7_Custom_trained_By_Owais",],["Image4.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["Image5.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["Image6.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["horses.jpeg", "yolov7"],["horses.jpeg", "yolov7-e6"]]