Update app.py

app.py

@@ -43,8 +43,8 @@ def load_labels() -> list[str]:
 model = load_model()
 labels = load_labels()
 
-#image: PIL.Image.Image
-def predict(base: str, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
+
+def predict(image: PIL.Image.Image, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
     _, height, width, _ = model.input_shape
     
     image = PIL.Image.open(BytesIO(base64.b64decode(base)))
@@ -78,9 +78,7 @@ with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)
     with gr.Row():
         with gr.Column():
-            #image = gr.Image(label="Input", type="pil")
-            base = gr.Textbox("")
-            #img = gr.File(type="binary")
+            image = gr.Image(label="Input", type="pil")
             score_threshold = gr.Slider(label="Score threshold", minimum=0, maximum=1, step=0.05, value=0.5)
             run_button = gr.Button("Run")
         with gr.Column():
@@ -94,7 +92,7 @@ with gr.Blocks(css="style.css") as demo:
     
     run_button.click(
         fn=predict,
-        inputs=[base, score_threshold],
+        inputs=[image, score_threshold],
         outputs=[result, result_json, result_text],
         api_name="predict",
     )