feat: addmin better examples and remove old cod

app.py

@@ -2,11 +2,6 @@ import gradio as gr
 from fastai.vision.all import *
 from huggingface_hub import from_pretrained_fastai
 
-
-def is_imported(x): return x[o].isupper()
-
-
-# learn  = load_learner("model.pkl")
 learn = from_pretrained_fastai("ramonvictorn/brazilian_car_check")
 categories = ('Imported', 'Nacional')
 
@@ -16,28 +11,12 @@ def classify_image(img):
     return dict(zip(categories, map(float, props)))
 
 
-image = gr.Image(shape=(192, 192), type="pil")
+image = gr.Image(shape=(192, 192), type="pil", label="Upload a car candidate")
 label = gr.outputs.Label()
-# examples = ["xx.jpg"]
-
-gr.Interface(fn=classify_image,
-             inputs=gr.Image(type="pil"),
-             outputs=label,
-             examples=["celta.jpeg"]).launch(inline=True)
-
-
-# intf = gr.Interface(fn=classify_image, inputs=image,
-#                     outputs=label, examples=["./celta.jpg"])
-# intf.launch(inline=True)
-# pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-# def predict(image):
-#     predictions = pipeline(image)
-#     return {p["label"]: p["score"] for p in predictions}
 
-# gr.Interface(
-#     predict,
-#     inputs=gr.inputs.Image(label="Upload car candidate", type="filepath"),
-#     outputs=gr.outputs.Label(num_top_classes=2),
-#     title="Brazilian nacional? Or Imported?",
-# ).launch()
+intf = gr.Interface(
+    fn=classify_image,
+    inputs=image,
+    outputs=label, examples=["ferrari.jpg","kwid.png", "celta.jpeg"]
+)
+intf.launch(inline=True)