Fix: update tweepy code + requirements

Author: kaushikjadhav01

README.md

@@ -39,7 +39,7 @@ main.py - main machine learning module
 </ul>
 
 # How to Install and Use
-<b>Python 3.8.5 is required for the python packages to install correctly</b><br>
+<b>Python 3.10.6 is required for the python packages to install correctly</b><br>
 <ol>
 <li>Clone the repo. Download and install <b>XAMPP server</b> from https://www.apachefriends.org/download.html and start <b>Apache</b> and <b>MySql</b> servers</li>
 <li>Open <b>phpmyadmin</b> by visiting http://localhost/phpmyadmin/ and go to User Accounts -> Add a User, give username and password as <b>admin</b> and click on <b>Check All</b> next to Global Privileges and hit Go</li>

Yahoo-Finance-Ticker-Symbols.csv

@@ -8343,6 +8343,7 @@ VHP.NZ,Vital Healthcare Property Trust,NZE,,New Zealand
 WDN.TO,Waldron Energy Corporation,TOR,,Canada
 VGI.AX,Vista Group International Limited,ASX,,Australia
 FB,"Facebook, Inc.",NMS,Internet Information Providers,USA
+META,"Facebook, Inc.",NMS,Internet Information Providers,USA
 KRFT,"Kraft Foods Group, Inc.",,,
 FCX,Freeport-McMoRan Inc.,NYQ,Copper,USA
 FSLR,"First Solar, Inc.",NMS,Semiconductor - Specialized,USA

main.py

@@ -9,7 +9,7 @@
 from alpha_vantage.timeseries import TimeSeries
 import pandas as pd
 import numpy as np
-from statsmodels.tsa.arima_model import ARIMA
+from statsmodels.tsa.arima.model import ARIMA
 from sklearn.metrics import mean_squared_error
 import matplotlib.pyplot as plt
 plt.style.use('ggplot')
@@ -91,10 +91,10 @@ def arima_model(train, test):
             predictions = list()
             for t in range(len(test)):
                 model = ARIMA(history, order=(6,1 ,0))
-                model_fit = model.fit(disp=0)
+                model_fit = model.fit()
                 output = model_fit.forecast()
                 yhat = output[0]
-                predictions.append(yhat[0])
+                predictions.append(yhat)
                 obs = test[t]
                 history.append(obs)
             return predictions
@@ -337,7 +337,7 @@ def retrieving_tweets_polarity(symbol):
         auth.set_access_token(ct.access_token, ct.access_token_secret)
         user = tweepy.API(auth)
 
-        tweets = tweepy.Cursor(user.search, q=symbol, tweet_mode='extended', lang='en',exclude_replies=True).items(ct.num_of_tweets)
+        tweets = tweepy.Cursor(user.search_tweets, q=symbol, tweet_mode='extended', lang='en',exclude_replies=True).items(ct.num_of_tweets)
 
         tweet_list = [] #List of tweets alongside polarity
         global_polarity = 0 #Polarity of all tweets === Sum of polarities of individual tweets
@@ -474,7 +474,9 @@ def recommending(df, global_polarity,today_stock,mean):
         arima_pred, error_arima=ARIMA_ALGO(df)
         lstm_pred, error_lstm=LSTM_ALGO(df)
         df, lr_pred, forecast_set,mean,error_lr=LIN_REG_ALGO(df)
-        polarity,tw_list,tw_pol,pos,neg,neutral = retrieving_tweets_polarity(quote)
+        # Twitter Lookup is no longer free in Twitter's v2 API
+        # polarity,tw_list,tw_pol,pos,neg,neutral = retrieving_tweets_polarity(quote)
+        polarity, tw_list, tw_pol, pos, neg, neutral = 0, [], "Can't fetch tweets, Twitter Lookup is no longer free in API v2.", 0, 0, 0
 
         idea, decision=recommending(df, polarity,today_stock,mean)
         print()

requirements.txt

@@ -1,16 +1,17 @@
+tensorflow
 nltk==3.5
-keras==2.4.3
+keras
 numpy
 streamlit==0.52.1
 seaborn==0.11.1
-tweepy==3.10.0
+tweepy
 textblob==0.15.3
 flask
 pandas
 matplotlib
 scikit_learn
 statsmodels
-yfinance==0.1.54
+yfinance
 alpha_vantage==2.3.1
 gunicorn
 https://pypi.anaconda.org/berber/simple/tweet-preprocessor/0.5.0/tweet-preprocessor-0.5.0.tar.gz