transformers_js_py from transformers_js import import_transformers_js, as_url import gradio as gr transformers = await import_transformers_js() pipeline = transformers.pipeline pipe = await pipeline('zero-shot-image-classification') async def classify(image, classes): if not image: return {} classes = [x for c in classes.split(",") if (x := c.strip())] if not classes: return {} data = await pipe(as_url(image), classes) result = {item['label']: round(item['score'], 2) for item in data} return result demo = gr.Interface( classify, [ gr.Image(label="Input image", sources=["webcam"], type="filepath", streaming=True), gr.Textbox(label="Classes separated by commas") ], gr.Label(), live=True ) demo.launch()