Update app.py

app.py

@@ -37,12 +37,12 @@ def load_model(model_repo_id):
     return detection_model
 
 
-def predict(pilimg):
+def predict(pilimg,threshold):
 
     image_np = pil_image_as_numpy_array(pilimg)
-    return predict2(image_np)
+    return predict2(image_np,threshold)
 
-def predict2(image_np):
+def predict2(image_np,threshold):
 
     results = detection_model(image_np)
 
@@ -60,7 +60,7 @@ def predict2(image_np):
         category_index,
         use_normalized_coordinates=True,
         max_boxes_to_draw=200,
-        min_score_thresh=.60,
+        min_score_thresh=threshold,
         agnostic_mode=False,
         line_thickness=2)
 
@@ -172,7 +172,7 @@ test12 = os.path.join(os.path.dirname(__file__), "data/test12.jpeg")
 
 base_image = gr.Interface(
     fn=predict,
-    inputs=gr.Image(type="pil"),
+    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=0.99, default=0.5, label="Threshold")],
     outputs=gr.Image(type="pil"),
     title="Luffy and Chopper face detection (Base mobile net model)",
     description="Upload a Image for prediction or click on below examples",