app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="rwcuffney/autotrain-pick_a_card-3726099224")

def predict(image):
    predictions = pipeline(image)
    return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    predict,
    inputs=gr.inputs.Image(label="Upload image of a weather to analyze", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=5),
    title="Playing Card Identification",
    share=True,
).launch()


pipeline = pipeline(task="image-classification", model="rwcuffney/autotrain-pick_a_card-3726099223")

def predict(image):
    predictions = pipeline(image)
    return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    predict,
    inputs=gr.inputs.Image(label="Upload image of a weather to analyze", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=5),
    title="Playing Card Identification",
    share=True,
).launch()