Update app.py

app.py

@@ -86,7 +86,7 @@ def detect_objects2(model_name,url_input,image_input,threshold,type2):
     model = DetrForObjectDetection.from_pretrained(model_name)
         
 
-    
+    global xxresult
 
     image = image_input
     
@@ -103,8 +103,7 @@ def detect_objects2(model_name,url_input,image_input,threshold,type2):
     if det_lab.count(1) > 0:
         total_text="Trench is Detected \n Image is Not Blurry \n"
     else:
-        total_text="Trench is NOT Detected \n Image is Blurry \n"
-        global xxresult
+        total_text="Trench is NOT Detected \n Image is Blurry \n"        
         xxresult=1
     print(type2)
     print(type(type2))
@@ -132,6 +131,7 @@ def tott():
         text2 = "The photo is ACCEPTED"
     else:
         text2 = "The photo is NOT ACCEPTED"
+    xxresult==0
     return text2
     
 def set_example_image(example: list) -> dict:
@@ -141,14 +141,14 @@ def set_example_url(example: list) -> dict:
     return gr.Textbox.update(value=example[0])
 
 
-title = """<h1 id="title">Object Detection App with DETR and YOLOS</h1>"""
+title = """<h1 id="title">Object Detection App for POC</h1>"""
 
 description = """
-Links to HuggingFace Models:
-- [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50)  
-- [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101)  
-- [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small)
-- [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny)
+This application will test the model for the followings:
+- Select the model  
+- Select the type of classification  
+- Then Detect
+- The actual Results
 """
 
 models = ["omarhkh/detr-finetuned-omar8"]