Delete app.py

app.py

@@ -1,45 +0,0 @@
-import gradio as gr
-import cv2
-
-import easyocr
-from PIL import Image
-
-def get_grayscale(image):
-    return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-
-def thresholding(src):
-    return cv2.threshold(src,127,255, cv2.THRESH_TOZERO)[1]
-
-def ocr_with_easy(img):
-    gray_scale_image = get_grayscale(img)
-    thresholding(gray_scale_image)
-    cv2.imwrite('image.png', gray_scale_image)
-    reader = easyocr.Reader(['en'])
-    bounds = reader.readtext('image.png', paragraph="False", detail=0)
-    bounds = ''.join(bounds)
-    return bounds
-
-def generate_ocr(img):
-    text_output = ''
-    if (img).any():
-        if img is not None:
-            text_output = ocr_with_easy(img)
-        else:
-            raise gr.Error("Please upload an image!!!!")
-    return text_output
-
-image = gr.Image()
-output = gr.Textbox(label="Output")
-
-demo = gr.Interface(
-    generate_ocr,
-    image,
-    output,
-    title="Optical Character Recognition",
-    css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}",
-    article = """<p style='text-align: center;'>Feel free to give us your thoughts on this demo and please contact us at
-                    <a href="mailto:[email protected]" target="_blank">[email protected]</a>
-                    <p style='text-align: center;'>Developed by: <a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>"""
-)
-
-demo.launch()