Delete app.py

app.py

@@ -1,22 +0,0 @@
-from transformers import pipeline
-import gradio as gr
-
-# Step 1: Load a pre-trained model for image classification
-model = pipeline("image-classification", model="google/vit-base-patch16-224")
-
-# Step 2: Define a function for classifying images
-def classify_image(image):
-    predictions = model(image)
-    return predictions
-
-# Step 3: Create a Gradio interface
-interface = gr.Interface(
-    fn=classify_image,
-    inputs="image",  # Input is an image
-    outputs="label",  # Output is a label (e.g., "sitting", "standing")
-    title="Pose Detection: Sitting or Standing"
-)
-
-# Step 4: Launch the app
-if __name__ == "__main__":
-    interface.launch()