Update app.py

app.py

@@ -1,15 +1,9 @@
-import gradio as gr
-from transformers import pipeline
+from transformers import BertConfig, BertModel
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+# Building the config
+config = BertConfig()
 
-def predict(image):
-    predictions = pipeline(image)
-    return {p["label"]: p["score"] for p in predictions}
+# Building the model from the config
+model = BertModel(config)
 
-gr.Interface(
-    predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
-    outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
-).launch()
+print(config)