Update index.html

index.html

@@ -19,12 +19,14 @@ import gradio as gr
 
 transformers = await import_transformers_js()
 pipeline = transformers.pipeline
-pipe = await pipeline('automatic-speech-recognition')
+pipe = await pipeline('zero-shot-image-classification')
 
 async def transcribe(text):
-	return await pipe(text)
+	data = await pipe(text)
+    result = [{item['label']: round(item['score'], 2) for item in data}]
+    return result
 
-demo = gr.Interface(transcribe, gr.Audio(source="microphone"), gr.Textbox())
+demo = gr.Interface(transcribe, [gr.Image("Input Image"), gr.Textbox(label="Classes")], gr.Label())
 demo.launch()
 </gradio-file>