added images and updated svc

nft_svc/app.py

@@ -1,34 +1,14 @@
 import io
 import random
+import os
 
 from PIL import Image
 from flask import Flask, request, jsonify
 import matplotlib.image as mpimg
-import numpy as np
-import numba
-import pickle
 import base64
 
 app = Flask(__name__)
-
-
-@numba.njit
-def optimized_mandelbrot(n_rows, n_columns, iterations, cx, cy):
-    x_cor = np.linspace(-2, 2, n_rows)
-    y_cor = np.linspace(-2, 2, n_columns)
-    output = np.zeros((n_rows,n_columns))
-    c = cx + 1j * cy
-    for i in range(n_rows):
-        for j in range(n_columns):
-            z = x_cor[i] + y_cor[j] * 1j
-            count = 0
-            for k in range(iterations):
-                z = (z*z) + c
-                count += 1
-                if np.abs(z) > 4:
-                    break
-            output[i, j] = count
-    return output.T
+IMAGE_PATH = 'pics'
 
 
 def open_image_as_array(path):
@@ -40,19 +20,19 @@ def get_encoded_img(arr):
     img_byte_arr = io.BytesIO()
     img.save(img_byte_arr, format='PNG')
     encoded_img = base64.encodebytes(img_byte_arr.getvalue()).decode('ascii')
-    return encoded_img
+    return str(encoded_img)
 
 
 @app.route('/getImage', methods=['GET'])
 def get_image():
-    with open('data_100.pickle', 'rb') as f:
-        images = pickle.load(f)
-    buffered = io.BytesIO()
-    random.choice(images).save(buffered, format="JPEG")
-    img_str = base64.b64encode(buffered.getvalue())
+    # print(random.choice(os.listdir(IMAGE_PATH)))
+    image = mpimg.imread(os.path.join(IMAGE_PATH, random.choice(os.listdir(IMAGE_PATH))))
+    # buffered = io.BytesIO()
+    # image.save(buffered, format="JPEG")
+    # img_str = base64.b64encode(buffered.getvalue())
     return jsonify({
         "code": 0,
-        "image": str(img_str.decode('ascii')),
+        "image": get_encoded_img(image),
         "first_time": 1
     })