Update app.py

app.py

@@ -137,7 +137,6 @@ def detect_Custom(img):
                           y1 = int(xyxy[1].item())
                           x2 = int(xyxy[2].item())
                           y2 = int(xyxy[3].item())
-
                           orig_img = im0
                           crop_img = im0[y1:y2, x1:x2]
                           cv2.imwrite('MRZ_1.png', crop_img)
@@ -186,7 +185,7 @@ def detect_Custom(img):
     return Image.fromarray(im0[:,:,::-1]), output_text
 
    
-output = gr.Textbox(label="Output",elem_id="opbox")
+output = gr.Textbox(label="Validation",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 = (
@@ -204,4 +203,4 @@ examples1=[["Image1.jpeg", "Yolo_v7_Custom_trained_By_Owais"],["Image2.jpeg", "Y
 Top_Title="<center>Intelligent Image to Text - IIT </center></a>"
 
 css = ".output-image, .input-image, .image-preview {height: 300px !important}"
-gr.Interface(detect_Custom,[gr.Image(type="pil")],[gr.Image(type="pil"),output],css=css,title=Top_Title,examples=examples1,description=Custom_description,article=Footer,cache_examples=False).launch()
+gr.Interface(detect_Custom,gr.Image(type="pil"),[gr.Image(type="pil"),output],css=css,title=Top_Title,examples=examples1,description=Custom_description,article=Footer,cache_examples=False).launch()