Update app.py

app.py

@@ -2,6 +2,8 @@ import gradio as gr
 from fastai.vision.all import *
 from huggingface_hub import from_pretrained_fastai
 
+import pathlib
+
 # Cargar el modelo preentrenado
 repo_id = "ignaciobfp/moonboard_difficulty"
 learner = from_pretrained_fastai(repo_id)
@@ -22,20 +24,14 @@ def predict(img):
         "Input Image": img
     }
 
+
+image_dir = pathlib.Path('')
+examples = [[path.as_posix()] for path in sorted(image_dir.glob('*.jpg'))]
+
 iface = gr.Interface(
     predict,
     gr.Image(type="pil"),
     "image",
-    examples = [
-        gr.Image.from_file("easy1.jpg"),
-        gr.Image.from_file("easy2.jpg"),
-        gr.Image.from_file("easy3.jpg"),
-        gr.Image.from_file("med1.jpg"),
-        gr.Image.from_file("med2.jpg"),
-        gr.Image.from_file("med3.jpg"),
-        gr.Image.from_file("hard1.jpg"),
-        gr.Image.from_file("hard2.jpg"),
-        gr.Image.from_file("hard3.jpg")
-    ],
+    examples = examples,
 )
 iface.launch(share=False)