如何将存储在变量中的HTML表单数据传递给Flask中的Python脚本？

How to pass HTML form data stored in a variable to a Python script in Flask?

我正在构建一个数据产品(一个NLP聊天应用程序)，我正在为它学习flask，这样用户就可以有一个更好的UI来与我的产品交互。

我已经在flask中编写了以下代码，以获取用户输入并将其存储在变量中。

主.py

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from flask import Flask, render_template, request
app = Flask(__name__)

@app.route('/')
def index():
return render_template('init.html')

@app.route('/handle_data', methods = ['POST', 'GET'])
def handle_data():
userQuestion = request.form['userQuestion']
print(userQuestion)
return render_template('init.html', userQuestion = userQuestion)

if __name__ == '__main__':
app.run()

初始.html

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<!DOCTYPE HTML>
<html>
<body>

<form action="{{ url_for('handle_data') }}" method="post">
<input type="text" name="userQuestion">
<input type="submit">
</form>

</body>
</html>

号

我已经处理了表单数据并将其存储在一个变量userQuestion中。我想将这个变量传递给另一个包含我的训练模型代码的python脚本。

文档2vec_main.py

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import gensim
import nltk
import numpy
from gensim import models
from gensim import utils
from gensim import corpora
from nltk.stem import PorterStemmer
ps = PorterStemmer()

sentence0 = models.doc2vec.LabeledSentence(words=[u'sampling',u'what',u'is',u'sampling'],tags=["SENT_0"])
sentence1 = models.doc2vec.LabeledSentence(words=[u'sampling',u'tell',u'me',u'about',u'sampling'],tags=["SENT_1"])
sentence2 = models.doc2vec.LabeledSentence(words=[u'elig',u'what',u'is',u'my',u'elig'],tags=["SENT_2"])
sentence3 = models.doc2vec.LabeledSentence(words=[u'eligiblity',u'limit', u'what',u'is',u'my'],tags=["SENT_3"])
sentence4 = models.doc2vec.LabeledSentence(words=[u'eligiblity',u'claim',u'how',u'much',u'can',u'I'],tags=["SENT_4"])
sentence5 = models.doc2vec.LabeledSentence(words=[u'retir',u'eligibility',u'claim',u'i',u'am',u'how',u'much',u'can',u'i'],tags=["SENT_5"])
# ... list of all the training set.

# User inputs a question
document = input("Ask a question:")
tokenized_document = list(gensim.utils.tokenize(document, lowercase = True, deacc = True))
stemmed_document = []
for w in tokenized_document:
stemmed_document.append(ps.stem(w))

sentence19 = models.doc2vec.LabeledSentence(words= stemmed_document, tags=["SENT_19"])

sentences = [sentence0,sentence1,sentence2,sentence3, sentence4, sentence5,sentence6, sentence7, sentence8, sentence9, sentence10, sentence11, sentence12, sentence13, sentence14, sentence15, sentence16, sentence17, sentence18, sentence19]

model = models.Doc2Vec(size=4, alpha=0.25, min_alpha=.025, min_count=1)
model.build_vocab(sentences)
for epoch in range(30):
model.train(sentences, total_examples=model.corpus_count, epochs =
model.iter)
model.alpha -= 0.002
model.min_alpha = model.alpha
model.save("my_model.doc2vec")
model_loaded = models.Doc2Vec.load('my_model.doc2vec')
print (model.docvecs.most_similar(["SENT_19"]))

我的问题是，我找不到一种方法将doc2vec_main.py连接到main.py，并将userQuestion的值传递到doc2main.py中的document变量。脚本。也就是说，当用户在表单中输入一个问题并单击Submit时，表单的值将传递给EDOCX1中的document，其余脚本将运行。

我在网上搜了很多东西，但没用。你能给我推荐一种方法吗？我完全是个新手，所以请原谅我的任何错误。

相关讨论

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import gensim
import nltk
import numpy
from gensim import models
from gensim import utils
from gensim import corpora
from nltk.stem import PorterStemmer
ps = PorterStemmer()

# load the model here
model_loaded = models.Doc2Vec.load('my_model.doc2vec')

from flask import Flask, render_template, request
app = Flask(__name__)

@app.route('/')
def index():
return render_template('init.html')

@app.route('/handle_data', methods = ['POST', 'GET'])
def handle_data():
userQuestion = request.form['userQuestion']
print(userQuestion)
q_vector = doc2vec_main(userQuestion)
return render_template('init.html', userQuestion = userQuestion)

def doc2vec_main(document):
"""whatever you want to do with your pre-trained doc2vec model can go here. I assume that doc2vec_main meant to return vector for a given document. for training part of the code you should write a separate function."""
# your code here!
return"replace this with your vector"

if __name__ == '__main__':
app.run()

。

将脚本放入flask应用程序的另一个模块中，在一个函数下，将要处理的变量作为参数：

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import gensim
import nltk
import numpy
from gensim import models
from gensim import utils
from gensim import corpora
from nltk.stem import PorterStemmer

def doc2vec(user_question):
# your code here...

在handle_data flask视图中，只需将值从表单传递到函数。考虑到这在您的函数很昂贵的情况下不起作用，所以您不能在正常的请求/响应HTTP流期间等待结果。