Update app.py

app.py

@@ -5,7 +5,8 @@ from __future__ import annotations
 import os
 import pathlib
 import tarfile
-
+import requests
+from io import BytesIO
 import deepdanbooru as dd
 import gradio as gr
 import huggingface_hub
@@ -41,9 +42,12 @@ def load_labels() -> list[str]:
 model = load_model()
 labels = load_labels()
 
-
-def predict(image: PIL.Image.Image, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
+#image: PIL.Image.Image
+def predict(url: str, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
     _, height, width, _ = model.input_shape
+    response = requests.get(url)
+    img = Image.open(BytesIO(response.content))
+
     image = np.asarray(image)
     image = tf.image.resize(image, size=(height, width), method=tf.image.ResizeMethod.AREA, preserve_aspect_ratio=True)
     image = image.numpy()
@@ -73,7 +77,8 @@ with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)
     with gr.Row():
         with gr.Column():
-            image = gr.Image(label="Input", type="pil")
+            #image = gr.Image(label="Input", type="pil")
+            url = gr.Textbox("https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png")
             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():