import gradio as gr

def wordsrch(img):
    lang = ["en"]
    #ocrimg = gr.Interface.load("spaces/PaddlePaddle/PaddleOCR")(img, lang)
    ocrimg, dframe = gr.Interface.load("spaces/tomofi/EasyOCR")(img, lang)
    print(dframe)
    return ocrimg 

#examples = [["wordsearch2.jpg","en"]]
examples = ["wordsearch2.jpg"]

iface = gr.Interface(fn=wordsrch, 
                      # Please choose from: 'numpy', 'pil', 'filepath'.
                      inputs=gr.inputs.Image(type='filepath', label='Input'), #"en"],  
                      #outputs=gr.outputs.Image(type='file', label='Output'),
                      outputs=gr.outputs.Image(type='file', label='Output'), #gr.outputs.Dataframe(type="array", headers=['text' , 'confidence'])],
                      examples = examples)
                      
iface.launch(debug=True, enable_queue=True)