Add application file

Dockerfile

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+FROM python:3.10
+
+RUN apt-get update -y && apt-get install -y build-essential
+
+WORKDIR /app
+
+ENV FLASK_APP=app.py 
+
+ENV FLASK_DEBUG=development
+
+COPY api.py api.py
+
+RUN pip install Flask
+RUN pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu
+RUN pip install easyocr
+RUN pip install gunicorn
+
+
+CMD ["gunicorn","-b","0.0.0.0:7860", "api:app","--timeout","950"]
+

api.py

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+from flask import Flask, request
+import datetime
+from werkzeug.utils import secure_filename
+import cv2
+import easyocr
+import os
+
+x = datetime.datetime.now()
+
+# Initializing flask app
+app = Flask(__name__)
+
+
+
+@app.route('/data')
+def index():
+    return ("<h1>Hi, I am running fine as backend. Please use the frontend to perform text extraction.</h1>")
+
+
+# Route for seeing a data
+@app.route('/data', methods=['POST'])
+def get_time():
+    try:
+        file = request.files['file']
+        file.save(secure_filename(file.filename))
+    except:
+        return["Sorry something went wrong. Perhaps you did not select your image. Please try again."]   
+    rois = request.form['rois'].split(',')
+    div = request.form['divisionWH'].split(',')
+
+    print(rois, "\n", div)
+
+    img = cv2.imread(secure_filename(file.filename))
+    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    # specify languages and other configs
+    reader = easyocr.Reader(['en'], gpu=False)
+
+    IacH, IacW = img.shape
+    IapW, IapH = int(div[0]), int(div[1])
+
+    Rw = IacW / IapW
+    Rh = IacH / IapH
+    # print(Rw,Rh)
+
+    output = ""
+
+    if len(rois) > 1:
+
+        for i in range(int(len(rois) / 4)):
+            j = i * 4
+            global X1, X2, Y1, Y2
+            x1, y1, x2, y2 = int(rois[j]), int(rois[j + 1]), int(rois[j + 2]), int(rois[j + 3])
+            X1, Y1, X2, Y2 = int(Rw * x1), Rh * y1, int(Rw * x2), Rh * y2
+            Offset_y1 = ((IacH * y1 / 100) * 0.02) / 100
+            Offset_y2 = ((IacH * y2 / 100) * 0.05) / 100
+            print(Offset_y1)
+            Y1 = int(Y1)
+            Y2 = int(Y2 + Offset_y2)
+            img_ROI = img[Y1:Y2, X1:X2]
+            result = reader.readtext(img_ROI, paragraph='True')
+
+            for res in result:
+                top_left = tuple(res[0][0])  # top left coordinates as tuple
+                bottom_right = tuple(res[0][2])  # bottom right coordinates as tuple
+                # draw rectangle on image
+                cv2.rectangle(img_ROI, top_left, bottom_right, (0, 255, 0), 2)
+                # write recognized text on image (top_left) minus 10 pixel on y
+                cv2.putText(img_ROI, res[1], (top_left[0], top_left[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5,
+                            (255, 0, 0, 1))
+                output = output + res[1] + '\n\n'
+                print(output)
+                cv2.rectangle(img_ROI, (X1, Y1), (X2, Y2), (255, 0, 255), 2)
+
+    else:
+        result = reader.readtext(img, paragraph='True')
+        print(result, "Result")
+        # iterate on all results
+        for res in result:
+            top_left = tuple(res[0][0])  # top left coordinates as tuple
+            bottom_right = tuple(res[0][2])  # bottom right coordinates as tuple
+            # draw rectangle on image
+            top_left = (int(top_left[0]), int(top_left[1]))
+            bottom_right = (int(bottom_right[0]), int(bottom_right[1]))
+            cv2.rectangle(img, top_left, bottom_right, (0, 255, 0), 2)
+            # write recognized text on image (top_left) minus 10 pixel on y
+            # cv2.putText(img, res[1], (top_left[0], top_left[1]-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
+            output = output + res[1]
+
+    print('ok')
+    os.remove(secure_filename(file.filename))
+    return [output]
+
+
+if __name__ == "__main__":
+    app.run(debug=True,host="0.0.0.0",port=5000)