final'

src/flask/demo.py

@@ -5,10 +5,6 @@ import io
 from flask import Flask, request
 from urllib.parse import urlparse
 from urllib.request import urlopen
-from alibabacloud_imagerecog20190930.client import Client
-from alibabacloud_imagerecog20190930.models import ClassifyingRubbishAdvanceRequest
-from alibabacloud_tea_openapi.models import Config
-from alibabacloud_tea_util.models import RuntimeOptions
 import mysql.connector
 from mysql.connector import Error
 
@@ -55,32 +51,6 @@ def insert_feedback(feedbackInfo,feedbackType):
                 connection.close()
 
 
-def recognition(url):
-    config = Config(
-        access_key_id='LTAI5tHR7LEUHziRSK4TLSnM',
-        access_key_secret='uq7sZKEixU5osl54GVzcj4Yb1Yb7XA',
-        endpoint='imagerecog.cn-shanghai.aliyuncs.com',
-        region_id='cn-shanghai'
-    )
-    # img = open(r'tmp.jpg', 'rb')
-    img = io.BytesIO(urlopen(url).read())
-    classifying_rubbish_request = ClassifyingRubbishAdvanceRequest()
-    classifying_rubbish_request.image_urlobject = img
-
-    runtime = RuntimeOptions()
-    try:
-        client = Client(config)
-        response = client.classifying_rubbish_advance(classifying_rubbish_request, runtime)
-        # result = response.body
-        category = response.body.data.elements[0].category;
-        return category
-        # return JsonResponse({'result': result})
-    except Exception as error:
-        print(error)
-        # print(error.code)
-        # return JsonResponse({'error': str(error)}, status=500)
-
-
 #垃圾识别接口
 app = Flask(__name__)
 # 保存上传文件的目标目录