clickable labels for individual faces

app.py

@@ -23,8 +23,8 @@ with gr.Blocks() as demo:
 
 	annotated_image = gr.AnnotatedImage()
 
-	jsontext =  gr.Text(label= "deepface extract_faces results")
-	selected_face = gr.Textbox(label="Selected Face")
+	#jsontext =  gr.Text(label= "deepface extract_faces results")
+	selected_face = gr.Textbox(label="Selected Face", value="Click on a face above")
 
 		
 	
@@ -38,13 +38,13 @@ with gr.Blocks() as demo:
 		jsontext = ''
 		global faceannotations
 		faceannotations = []
-		for face_obj in face_objs:
+		for i, face_obj in enumerate(face_objs,1):
 			face_coordinates = (face_obj["facial_area"]["x"],face_obj["facial_area"]["y"], (face_obj["facial_area"]["x"] + face_obj["facial_area"]["w"]),(face_obj["facial_area"]["y"] + face_obj["facial_area"]["h"]))
-			face_confidence =  "{:.0%}".format(face_obj["confidence"])
+			face_confidence =  "Face " + str(i) + ": "+ "{:.0%}".format(face_obj["confidence"])
 			face_result=[face_coordinates,face_confidence]
 			faceannotations.append(face_result)
 		
-		jsontext=faceannotations
+		#jsontext=faceannotations
 		#jsontext=face_objs
 		run_time = str(round((time.time() - start_time),2))
 		results = gr.AnnotatedImage(
@@ -53,14 +53,14 @@ with gr.Blocks() as demo:
 		)
 
 		print(run_time)
-		return(results,jsontext,numberoffaces,run_time)
+		return(results,numberoffaces,run_time)
 
 	dbackendchoice = gr.Radio(choices=dbackends,label='Detector Backend:',value='retinaface')
 	gr.Interface(
 		allow_flagging = "never",
 		fn=findFaces,
 		inputs=[gr.Image(value="8428_26_SM.jpg"), dbackendchoice],
-		outputs=[annotated_image,jsontext,selected_face],
+		outputs=[annotated_image,selected_face],
 	)
 	def select_section(evt: gr.SelectData):
 		return faceannotations[evt.index]