Question

我正在尝试为我的模型制作API。

我正在尝试上传csv文件，然后在csv中读取数据，然后在API中使用模型进行预测。

我能够上传文件并保存在路径中，但无法通过在python中使用web.py读取csv数据进行预测

我已经保存了用于预测的模型，并在此代码中加载了然后预测数据。

upload.py

node_modules

编辑1

import web from sklearn.externals import joblib import requests urls = ('/upload', 'Upload') class Upload: def GET(self): web.header("Content-Type","text/html; charset=utf-8") return """<html><head></head><body> <form method="POST" enctype="multipart/form-data" action=""> <input type="file" name="myfile" /> <br/> <br/> <input type="submit" /> </form> </body></html>""" def POST(self): x = web.input(myfile=[]) filedir = 'D:/API_CITY_PRED/Upload' # change this to the directory you want to store the file in. svmModel = open('D:/Model/model_city_id_predictor.pkl', 'rb') svmModel = joblib.load(svmModel) class_prediced = svmModel.predict(x) output = "Predicted City ID: " + str(class_prediced) print (output) if 'myfile' in x: # to check if the file-object is created filepath=x.myfile.filename.replace('\\','/') # replaces the windows-style slashes with linux ones. filename=filepath.split('/')[-1] # splits the and chooses the last part (the filename with extension) fout = open(filedir +'/'+ filename,'wb') # creates the file where the uploaded file should be stored fout.write(x.myfile.file.read()) # writes the uploaded file to the newly created file. fout.close() # closes the file, upload complete. return output raise web.seeother('/upload') if __name__ == "__main__": app = web.application(urls, globals()) app.run()

# x is the input data

请提出建议

Answer 1

使用

x = web.input(file={})
fout = open('path/to/location/', 'wb')  # creates the file where the uploaded file should be stored
fout.write(x.file.file.read())  # writes the uploaded file to the newly created file.
fout.close()

这会将文件写入指定的位置。

如何在python中使用web.py处理上载的csv文件

1 个答案: