flask_13.py

# importing the required libraries
from flask import Flask, render_template, request, redirect, url_for
from joblib import load
from get_tweets import get_related_tweets

# load the pipeline object
pipeline = load("text_classification.joblib")

# function to get results for a particular text query
def requestResults(name):
    # get the tweets text
    tweets = get_related_tweets(name)
    # get the prediction
    tweets['prediction'] = pipeline.predict(tweets['tweet_text'])
    # get the value counts of different labels predicted
    data = str(tweets.prediction.value_counts()) + '\n\n'
    return data + str(tweets)