changed the gradio UI, increased the interactivity.

app.py

@@ -2,21 +2,36 @@ import gradio as gr
 
 from detection_pipeline import DetectionModel
 
-model = DetectionModel()
+if gr.NO_RELOAD:
+    model = DetectionModel()
+    preds = []
 
 def predict(image, threshold):
+    global preds
     preds = model(image)
-    preds = list(filter(lambda x: x[4] > threshold, preds))
+    return filter_preds(image, threshold)
 
-    output = model.visualize(image, preds)
+def filter_preds(image, threshold):
+    preds_ = list(filter(lambda x: x[4] > threshold/100, preds))
+    output = model.visualize(image, preds_)
     return output
 
 
+with gr.Blocks() as interface:
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(label="Input")
 
-interface = gr.Interface(
-    fn=predict,
-    inputs=[gr.Image(label="Input"), gr.Slider(0, 1, .3, step=.05, label="Threshold")],
-    outputs=gr.Image(label="Output")
-)
+        with gr.Column():
+            output = gr.Image(label="Output")
 
-interface.launch()
+    with gr.Row():
+        with gr.Column():        
+            threshold = gr.Slider(0, 100, 30, step=5, label="Threshold")
+            threshold.release(filter_preds, inputs=[image, threshold], outputs=output)
+        with gr.Column():
+            button = gr.Button(value="Detect")
+            button.click(predict, [image, threshold], output)
+
+if __name__ == "__main__":
+    interface.launch()