Update app.py

app.py

@@ -38,9 +38,10 @@ def load_model(model_repo_id):
 
 
 def predict(pilimg,Threshold):
-
+    
     image_np = pil_image_as_numpy_array(pilimg)
-    if type(Threshold) is None or Threshold == 0:
+    Threshold1= float(Threshold)
+    if type(Threshold1) is None or Threshold1 == 0:
         Threshold=0.88
         
     return predict2(image_np,Threshold),predict3(image_np,Threshold),Threshold
@@ -173,7 +174,7 @@ test12 = os.path.join(os.path.dirname(__file__), "data/test12.jpeg")
 base_image = gr.Interface(
     fn=predict,
 #    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=1, value=0.38 ,label="Threshold",info="[not in used]to set prediction confidence threshold")],
-    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=1,value=threshold_d ,label="[WIP]To change default 0.38 prediction confidence Threshold",info="[not in used]Select image with 0.38 threshold to start, you may amend threshold after each first image inference")],
+    inputs=[gr.Image(type="pil"),gr.Textbox(value=threshold_d ,label="[WIP]To change default 0.38 prediction confidence Threshold",info="[not in used]Select image with 0.38 threshold to start, you may amend threshold after each first image inference")],
 
     outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="[WIP]Both images inferenced threshold")],
     title="Luffy and Chopper Head detection. SSD mobile net V2 320x320",