pythonのpickleのEOFErrorで困っています。

前提・実現したいこと

写真をOCRして読み取った文字からカレンダーに予定を追加するというアプリを作っています。
しかし、カレンダーに予定を追加する関数が動いてくれません。
pickleのところで間違っているようでうす。

発生している問題・エラーメッセージ

x
1127.0.0.1 - - [23/Oct/2021 12:27:46] "POST /post_img_test HTTP/1.1" 500 -
2Traceback (most recent call last):
3  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2088, in __call__
4    return self.wsgi_app(environ, start_response)
5  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2073, in wsgi_app
6    response = self.handle_exception(e)
7  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2070, in wsgi_app
8    response = self.full_dispatch_request()
9  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1515, in full_dispatch_request
10    rv = self.handle_user_exception(e)
11  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1513, in full_dispatch_request
12    rv = self.dispatch_request()
13  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1499, in dispatch_request
14    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
15  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 76, in index
16    googlecalenderattach(txt)
17  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 128, in googlecalenderattach
18    creds = pickle.load(token)
19EOFError: Ran out of input

該当のソースコード

python
1from __future__ import print_function
2from flask import Flask, jsonify, request
3from PIL import Image
4import json
5import base64
6from io import BytesIO
7import matplotlib.pyplot as plt
8import copy
9import numpy as np
10import cv2
11import pyocr
12import pyocr.builders
13import datetime
14import os.path
15from googleapiclient.discovery import build
16from google_auth_oauthlib.flow import InstalledAppFlow
17from google.auth.transport.requests import Request
18from google.oauth2.credentials import Credentials
19import pickle
20
21
22tools = pyocr.get_available_tools()
23if len(tools) == 0:
24    print("No OCR tool found")
25    sys.exit(1)
26tool = tools[0]
27print("Will use tool '%s'" % (tool.get_name()))
28langs = tool.get_available_languages()
29print("Available languages: %s" % ", ".join(langs))
30
31app = Flask(__name__)
32
33SCOPES = ['https://www.googleapis.com/auth/calendar']
34@app.route("/post_img_test", methods=["GET", "POST"])
35def index():
36    # json_data = request.get_json() # POSTされたjsonを取得
37    # dict_data = json.loads(json_data) # jsonを辞書に変換
38    img_stream = base64.b64decode(request.form["img"])
39    cols = int(request.form["COLS"])
40    rows = int(request.form["ROWS"])
41
42    img_array = np.asarray(bytearray(img_stream),dtype=np.uint8)
43    img = cv2.imdecode(img_array,1)
44    h,w,c = img.shape
45    print(h,w,c)
46    img2 = copy.deepcopy(img)
47
48    directions = ["UL","UR","LL","LR"]
49    positions = []
50
51    for dire in directions:
52        pos = request.form[dire].split(",")#場所取得
53        print(pos)
54        positions.append([int(float(pos[0]))+w//2, h//2-int(float(pos[1]))])
55        cv2.circle(img,positions[-1],10,(255,255,255),thickness=-1)#場所チェック
56
57    cv2.imwrite('result_checking.png',img)
58
59    #射影変換後のサイズ
60    after_w = max(positions,key=lambda x:x[0])[0]-min(positions,key=lambda x:x[0])[0]
61    after_h = max(positions,key=lambda x:x[1])[1]-min(positions,key=lambda x:x[1])[1]
62
63    #射影変換
64    pts=np.float32([[0,0],[after_w,0],[0,after_h],[after_w,after_h]])
65    M = cv2.getPerspectiveTransform(np.float32(positions),pts)
66    dst = cv2.warpPerspective(img2,M,(after_w,after_h))
67
68    #射影変換を保存
69    cv2.imwrite('result.png',dst)
70
71    imgs = chuncks(dst,rows,cols)
72    for i in range(len(imgs)):
73        imgs[i] = noizclear(imgs[i])
74        global txt
75        txt = tool.image_to_string(cv2pil(imgs[i]),lang='jpn',builder=pyocr.builders.TextBuilder(tesseract_layout=6))
76        googlecalenderattach(txt)
77    return 'ok'
78#画像のノイズを消す。
79def noizclear(img):
80    resize_to = (img.shape[0]*10,img.shape[1]*10)      # Rescale the image more than 300 dpi
81    block_size = 147           # Block size for adaptive thresholding. This should be positive and odd value more than 1.
82    C = 31                     # The constant to subtract from mean or weighted mean
83    threshold = 140            # The threshold for simple thresholding
84    open_ksize = (5, 5)        # The kernel size to remove white patch in black region
85    close_ksize = (3, 3)       # The kernel size to remove black patch in white region
86    blur_ksize = (5, 5)        # The Gaussian kernel size to set blur. This should be positive and odd value
87    #img = cv2.imread('result.png')
88    img_generated = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
89    img_resized = cv2.resize(img_generated, resize_to, interpolation = cv2.INTER_LINEAR)
90    img_adaptive = cv2.adaptiveThreshold(img_resized, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, block_size, C)
91    img_morph_open = cv2.morphologyEx(img_adaptive, cv2.MORPH_OPEN, np.ones(open_ksize, np.uint8))
92    img_morph_close = cv2.morphologyEx(img_morph_open, cv2.MORPH_CLOSE, np.ones(close_ksize, np.uint8))
93    result, img_OTSU = cv2.threshold(img_resized, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
94    img_blur = cv2.GaussianBlur(img_OTSU, blur_ksize, cv2.BORDER_CONSTANT)
95    result, img_OTSU2 = cv2.threshold(img_blur, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
96    img_bitwise = cv2.bitwise_or(img_OTSU2, img_morph_close)
97    return img_bitwise
98#画像を切り分ける。
99def chuncks(dst,rows,cols):
100    chunk_lst = []
101    for row_img in np.array_split(dst,rows,axis=0):
102        for chunk in np.array_split(row_img,cols,axis=1):
103            chunk_lst.append(chunk)
104            print(len(chunk_lst))
105
106    return chunk_lst
107
108def cv2pil(image):
109    ''' OpenCV型 -> PIL型 '''
110    new_image = image.copy()
111    if new_image.ndim == 2:  # モノクロ
112        pass
113    elif new_image.shape[2] == 3:  # カラー
114        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGR2RGB)
115    elif new_image.shape[2] == 4:  # 透過
116        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGRA2RGBA)
117    new_image = Image.fromarray(new_image)
118    return new_image
119    return jsonify(response)
120#googleカレンダーに追加
121def googlecalenderattach(txt):
122    creds = None
123    # The file token.pickle stores the user's access and refresh tokens, and is
124    # created automatically when the authorization flow completes for the first
125    # time.
126    if os.path.exists('token.pickle'):
127        with open('token.pickle', 'rb') as token:
128            creds = pickle.load(token)
129    # If there are no (valid) credentials available, let the user log in.
130    if not creds or not creds.valid:
131        if creds and creds.expired and creds.refresh_token:
132            creds.refresh(Request())
133        else:
134            flow = InstalledAppFlow.from_client_secrets_file(
135                'credentials.json', SCOPES)
136            creds = flow.run_local_server(port=0)
137        # Save the credentials for the next run
138        with open('token.pickle', 'wb') as token:
139            pickle.dump(creds, token)
140
141    service = build('calendar', 'v3', credentials=creds)
142
143    event = {
144      'summary': 'a',
145      'start': {
146        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
147        'timeZone': 'Japan',
148      },
149      'end': {
150        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
151        'timeZone': 'Japan',
152      },
153    }
154    event = service.events().insert(calendarId='自分のカレンダーIDを入力',body=event).execute()
155    print (event['id'])
156
157
158
159
160if __name__ == "__main__":
161    app.debug = True
162    app.run(host='127.0.0.1',port=5000)
163