我是python中的web界面的新手。我有一个应用程序,将语音转换为文本,然后得到情感分析。
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")
我想创建一个web界面,让人们在上传wav文件后,只需点击一个按钮就能得到csv输出,而不是运行代码。 我怎么做呢?
这是一个一般的流程。
/speech-to-text
wav
文件数据到此端点csv
通过运行你的脚本(在你的脚本中为此创建一个函数)来运行文件。csv
数据到您的AJAX请求,这将在您的JavaScript脚本中被接收。相关链接。