def predict_sentiment():
if request.method == 'POST':
a = time.monotonic()
# Form being submitted; grab data from form.
text = request.args.get('text', '')
sentiment = make_predictions(text)
sentiment = sentiment[0]
b = time.monotonic()
c = b - a
# For saving to database
new_prediction = PredictionsModel(input_text=text,
prediction=sentiment,
time=c)
db.session.add(new_prediction)
db.session.commit()
# Database task finished
response = {
'text': text,
'sentiment': sentiment,
'messsage': "New entry saved to database"
}
response = jsonify(response)
return response
def predict_sentiment():
if request.method == 'POST':
# Form being submitted; grab data from form.
text = request.args.get("text", '')
a = time.monotonic()
print("printing the text {}".format(
request.get_json(force=True)['text']))
text = request.get_json(force=True)['text']
sentiment, probability = make_predictions(text)
sentiment = sentiment[0]
b = time.monotonic()
time_elapsed = b - a
response = {
'sentiment': sentiment,
'eta': time_elapsed,
'confidence': probability
}
response = jsonify(response)
database_item = {
'query': text,
'sentiment': sentiment,
'eta': time_elapsed,
'confidence': probability
}
# inserting to dtabase
#client = MongoClient(MONGO_URL)
client = MongoClient(os.environ['DB_PORT_27017_TCP_ADDR'], 27017)
db = client['sentiments']
sentiments = db.sentiments
sentiments.insert_one(database_item)
return response
def find_sentiment():
if request.method == 'POST':
# Form being submitted; grab data from form.
text = request.form['text']
a = time.monotonic()
sentiment, probability = make_predictions(text)
sentiment = sentiment[0]
b = time.monotonic()
time_elapsed = b - a
database_item = {
'query': text,
'sentiment': sentiment,
'eta': time_elapsed,
'confidence': probability
}
# inserting to dtabase
#client = MongoClient(MONGO_URL)
client = MongoClient(os.environ['DB_PORT_27017_TCP_ADDR'], 27017)
db = client['sentiments']
sentiments = db.sentiments
sentiments.insert_one(database_item)
return render_template('submit_text.html', message=sentiment)
return render_template('submit_text.html')
def find_sentiment():
if request.method == 'POST':
# Form being submitted; grab data from form.
text = request.form['text']
print(text)
sentiment = make_predictions(text)
print(sentiment)
return render_template('submit_text.html', message=sentiment[0])
return render_template('submit_text.html')
from __future__ import absolute_import
import os
import sys
import argparse
print(os.path.realpath(__file__))
full_absolute_location = os.path.realpath(__file__)
full_absolute_location = full_absolute_location.split("/")
full_absolute_location = "/".join( full_absolute_location[:-2])
sys.path.append(os.path.join(full_absolute_location, 'src'))
from models.predict_model import make_predictions
sentiment = make_predictions("I am very very happy")
print(sentiment)