I am working on my twitter sentiment analyzer project. I am using matplotlib to plot the responses. I want to create an user friendly Interface Page which would take the input (topics or tags) from users and would send it to the analyzer which would analyze them and generate the graph in matplotlib. I succeeded giving inputs from the terminal. But now after integrating with flask it is not working.
my main.py
import sys,tweepy,csv,re from textblob import TextBlob import matplotlib.pyplot as plt class SentimentAnalysis: def __init__(self): self.tweets = [] self.tweetText = [] def DownloadData(self, topic, count): # authenticating consumerKey = 'CKEY' consumerSecret = 'CSEC' accessToken = 'ATOK' accessTokenSecret = 'ASEC' auth = tweepy.OAuthHandler(consumerKey, consumerSecret) auth.set_access_token(accessToken, accessTokenSecret) api = tweepy.API(auth) # input for term to be searched and how many tweets to search searchTerm = topic NoOfTerms = count # searching for tweets self.tweets = tweepy.Cursor(api.search, q=searchTerm, lang = "en").items(NoOfTerms) # Open/create a file to append data to csvFile = open('result.csv', 'a') # Use csv writer csvWriter = csv.writer(csvFile) # creating some variables to store info polarity = 0 positive = 0 wpositive = 0 spositive = 0 negative = 0 wnegative = 0 snegative = 0 neutral = 0 # iterating through tweets fetched for tweet in self.tweets: #Append to temp so that we can store in csv later. I use encode UTF-8 self.tweetText.append(self.cleanTweet(tweet.text).encode('utf-8')) # print (tweet.text.translate(non_bmp_map)) #print tweet's text analysis = TextBlob(tweet.text) # print(analysis.sentiment) # print tweet's polarity polarity += analysis.sentiment.polarity # adding up polarities to find the average later if (analysis.sentiment.polarity == 0): # adding reaction of how people are reacting to find average later neutral += 1 elif (analysis.sentiment.polarity > 0 and analysis.sentiment.polarity <= 0.3): wpositive += 1 elif (analysis.sentiment.polarity > 0.3 and analysis.sentiment.polarity <= 0.6): positive += 1 elif (analysis.sentiment.polarity > 0.6 and analysis.sentiment.polarity <= 1): spositive += 1 elif (analysis.sentiment.polarity > -0.3 and analysis.sentiment.polarity <= 0): wnegative += 1 elif (analysis.sentiment.polarity > -0.6 and analysis.sentiment.polarity <= -0.3): negative += 1 elif (analysis.sentiment.polarity > -1 and analysis.sentiment.polarity <= -0.6): snegative += 1 # Write to csv and close csv file csvWriter.writerow(self.tweetText) csvFile.close() # finding average of how people are reacting positive = self.percentage(positive, NoOfTerms) wpositive = self.percentage(wpositive, NoOfTerms) spositive = self.percentage(spositive, NoOfTerms) negative = self.percentage(negative, NoOfTerms) wnegative = self.percentage(wnegative, NoOfTerms) snegative = self.percentage(snegative, NoOfTerms) neutral = self.percentage(neutral, NoOfTerms) # finding average reaction polarity = polarity / NoOfTerms # printing out data print("How people are reacting on " + searchTerm + " by analyzing " + str(NoOfTerms) + " tweets.") print() print("General Report: ") if (polarity == 0): print("Neutral") elif (polarity > 0 and polarity <= 0.3): print("Weakly Positive") elif (polarity > 0.3 and polarity <= 0.6): print("Positive") elif (polarity > 0.6 and polarity <= 1): print("Strongly Positive") elif (polarity > -0.3 and polarity <= 0): print("Weakly Negative") elif (polarity > -0.6 and polarity <= -0.3): print("Negative") elif (polarity > -1 and polarity <= -0.6): print("Strongly Negative") print() print("Detailed Report: ") print(str(positive) + "% people thought it was positive") print(str(wpositive) + "% people thought it was weakly positive") print(str(spositive) + "% people thought it was strongly positive") print(str(negative) + "% people thought it was negative") print(str(wnegative) + "% people thought it was weakly negative") print(str(snegative) + "% people thought it was strongly negative") print(str(neutral) + "% people thought it was neutral") self.plotPieChart(positive, wpositive, spositive, negative, wnegative, snegative, neutral, searchTerm, NoOfTerms) def cleanTweet(self, tweet): # Remove Links, Special Characters etc from tweet return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t]) | (\w +:\ / \ / \S +)", " ", tweet).split()) # function to calculate percentage def percentage(self, part, whole): temp = 100 * float(part) / float(whole) return format(temp, '.2f') def plotPieChart(self, positive, wpositive, spositive, negative, wnegative, snegative, neutral, searchTerm, noOfSearchTerms): labels = ['Positive [' + str(positive) + '%]', 'Weakly Positive [' + str(wpositive) + '%]','Strongly Positive [' + str(spositive) + '%]', 'Neutral [' + str(neutral) + '%]', 'Negative [' + str(negative) + '%]', 'Weakly Negative [' + str(wnegative) + '%]', 'Strongly Negative [' + str(snegative) + '%]'] sizes = [positive, wpositive, spositive, neutral, negative, wnegative, snegative] colors = ['yellowgreen','lightgreen','darkgreen', 'gold', 'red','lightsalmon','darkred'] patches, texts = plt.pie(sizes, colors=colors, startangle=90) plt.legend(patches, labels, loc="best") plt.title('How people are reacting on ' + searchTerm + ' by analyzing ' + str(noOfSearchTerms) + ' Tweets.') plt.axis('equal') plt.tight_layout() plt.show() My app.py
from main import SentimentAnalysis from flask import Flask, render_template,request sa = SentimentAnalysis() app = Flask(__name__) @app.route('/') def index(): return render_template('index.html') @app.route('/submit', methods = ['GET', 'POST']) def submit(): if request.method == 'POST': #Parse form data topic = request.form['topic'] count = request.form['count'] return sa.DownloadData(topic, count) if __name__ == "__main__": app.run(debug=True) Now I am not getting any response at all. Can anyone tell where am I wrong?
