Update app.py

app.py

@@ -7,7 +7,7 @@ import numpy as np
 # function which is returning the number of object detected 
 def number_object_detected(image):
     
-    custom_model = YOLO('D:/COMSATS/FYP/Coding Part/ModelMaking/Computer_Vision_Part/3rd Try/runs/detect/train9/weights/best.pt') # custome yolo model path
+    custom_model = YOLO('best.pt') # custome yolo model path
     results = custom_model(image,verbose= False)
 
     dic = results[0].names
@@ -112,7 +112,7 @@ def process_data(files,car_brand, car_name, model_year, mileage, city_registered
 
 
 years_list = list(range(2024, 1899, -1))
-gr.Interface(fn = process_data,
+gr.Interface(fn = process_data,title = "Car Price Prediction",
              inputs=[gr.Gallery(label="Upload Files", type="pil"),
                   gr.Dropdown(['suzuki','toyota','honda','kia'], label='Brand'),
                       gr.Textbox(lines=1, label="Car Name"),