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import easyocr as ocr #OCR
import streamlit as st #Web App
from PIL import Image #Image Processing
import numpy as np #Image Processing
#title
st.title("Automatización en la Carga de Datos")
#subtitle
st.markdown("## Sube una Imagen, puede tener tanto texto como números ")
st.markdown("Link para mas Info - [@cesarriat 🤓 ](https://linktr.ee/cesarriat)")
#image uploader
image = st.file_uploader(label = "Upload(sube) tu imagen Aqui",type=['png','jpg','jpeg'])
@st.cache
def load_model():
reader = ocr.Reader(['en'],model_storage_directory='.')
return reader
reader = load_model() #load model
if image is not None:
input_image = Image.open(image) #read image
st.image(input_image) #display image
with st.spinner("🤖 La Inteligencia Artificial esta Funcionando, espere unos segundos! "):
result = reader.readtext(np.array(input_image))
result_text = [] #empty list for results
for text in result:
result_text.append(text[1])
st.write(result_text)
#st.success("Here you go!")
st.balloons()
else:
st.write("Upload( sube) una Imagen")
st.caption("Made with ❤️ ") |