python - 如何通过超链接或Web界面从中运行.py文件？

Question

我是python Web界面的新手。我有一个将语音转换为文本然后进行情感分析的应用程序。

import json
from os.path import join, dirname
from ibm_watson import SpeechToTextV1
from ibm_watson.websocket import RecognizeCallback, AudioSource
import threading
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
import pandas as pd
authenticator = IAMAuthenticator('rXXX')
service = SpeechToTextV1(authenticator=authenticator)
service.set_service_url('https://api.us-east.speech-to-text.watson.cloud.ibm.com')

models = service.list_models().get_result()
#print(json.dumps(models, indent=2))

model = service.get_model('en-US_BroadbandModel').get_result()
#print(json.dumps(model, indent=2))

# This is the name of the file u need to change below
with open(join(dirname('__file__'), 'Swearing_Service.wav'),
          'rb') as audio_file:
#    print(json.dumps(
    output = service.recognize(
    audio=audio_file,
    speaker_labels=True,
    content_type='audio/wav',
    #timestamps=True,
    #word_confidence=True,
    model='en-US_NarrowbandModel',
    continuous=True).get_result(),
    indent=2
df0 = pd.DataFrame([i for elts in output for alts in elts['results'] for i in alts['alternatives']])
list(df0.columns) 
list(df1.columns) 
df0 = df0.drop(["timestamps"], axis=1)
df1 = df1.drop(["final"], axis=1)
df1 = df1.drop(['confidence'],axis=1)
test3 = pd.concat([df0, df1], axis=1)
#sentiment
transcript = test3['transcript']
transcript = transcript.dropna()
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
analyzer = SentimentIntensityAnalyzer()
text = transcript
scores = []
for txt in text:
    vs = analyzer.polarity_scores(txt)
    scores.append(vs)
data = pd.DataFrame(text, columns= ['Text'])
data2 = pd.DataFrame(scores)
final_dataset= pd.concat([data,data2], axis=1)
test4 = pd.concat([test3,final_dataset], axis=1)
test4 = test4.drop(['Text'],axis=1)
test4.rename(columns={'neg':'Negative'}, 
                 inplace=True)
test4.rename(columns={'pos':'Positive'}, 
                 inplace=True)
test4.rename(columns={'neu':'Neutral'}, 
                 inplace=True)

# This is the name of the output csv file u need to change below
test4.to_csv("sentiment.csv")

我想为某人创建一个Web界面，只需单击一个按钮并在他们上传wav文件后获取csv输出，而不是运行代码。我该怎么做呢？

Answer 1

以下是一般流程:

您将在Flask应用程序中定义一个API端点。例如，/speech-to-text

单击按钮后，您将通过wav文件数据(通过JavaScript/JQuery)向该端点发送AJAX请求

在Flask应用程序中，您将通过运行脚本(从脚本中为此创建函数)来检索“语音数据”并将其转换为csv文件。

将带有csv数据的响应发送到您的AJAX请求，该请求将在您的JavaScript脚本中接收。

用户将可以下载此文件。

相关链接:

Accessing Request Data in Flask

APIs with JSON in Flask

Handling File Uploads in Flask

AJAX Introduction