def classifier_predict():
if request.method == 'POST':
f = request.files['file']
global csv_path
csv_path = "csv/" + f.filename
f.save(csv_path)
X = pd.read_csv(csv_path)
global classifier_clf
y = classifier_clf.predict(X).reshape(-1, 1)
ans = np.hstack((y, X))
ans = pd.DataFrame(ans)
ans.to_csv('static/response.csv', index=False)
return app.send_static_file("response.csv")
def statisk():
return app.send_static_file('client.html')
def root():
return app.send_static_file('Client.html')
def home():
return app.send_static_file('index.html')
def get_wav(wav_name):
try:
return app.send_static_file(app.config["CLIENT_WAV"] + str(wav_name))
except FileNotFoundError:
abort(404)
def hello():
#database_helper.init_db()
print "database initialized"
#api()
return app.send_static_file('client.html')
def client():
#client.html or /static/client.html???
return app.send_static_file('client.html')
def root():
return app.send_static_file('client.html')
def not_found(e):
return app.send_static_file('index.html')
def static_file(path):
return app.send_static_file(path)
def welcome_view():
return app.send_static_file('client.html')
def hello_world():
return app.send_static_file('client.html')
def kg_init(filepath):
print('filepath = {}'.format(filepath))
return app.send_static_file(filepath)
def index():
return app.send_static_file('index.html')
