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import gradio as gr | |
############################################################ This is still under progress ####################### | |
#def formatdata(dframe): | |
#return | |
#https://huggingface.co/spaces/ttj/wordle-helper/blob/main/app.py | |
#https://raw.githubusercontent.com/dwyl/english-words/master/words.txt | |
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) | |
#formatdata(dframe) | |
return ocrimg | |
#examples = [["wordsearch2.jpg","en"]] | |
examples = ["wordsearch2.jpg"] | |
words = ["allude", "lest", "apples", "lore", "lorna", "brunner", "buccaneer", "northward", "decently", "plessey", "dialled", "pointing", "duce", "protestor", "fairer", "removable", "finality", "risc", "gasp", "skates", "hawk", "spoke", "insomnia", "lear", "troll"] | |
iface = gr.Interface(fn=wordsrch, | |
description = "Work in progress ...", | |
# 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) |