Merge pull request #7 from SUBHADIPMAITI-DEV/main

LICENSE
SUBHADIPMAITI-DEV · Jul 16, 2024 · 8ebb498 · 8ebb498
2 parents b65b9d2 + c31e1de
commit 8ebb498
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diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -0,0 +1 @@
+
diff --git a/README.md b/README.md
@@ -13,15 +13,23 @@ SYSTEM REQUIREMENT
             System Processing: I3 10TH Gen ;
             RAM: 8GB ; 
             Storage: SSD 512 GB ;
-            Also we can used cloud execution for GPU – Google Colab architecture. 
+            Also, we can use cloud execution for GPU – Google Colab architecture. 
 
 🔎Software Requirements:
   OS: Windows 10 ;
   Google Colab ;
+
 
  RESULT ANALYSIS 
 ![image](https://user-images.githubusercontent.com/78700974/204124779-9d353689-2adb-499d-97e3-171c69f4ee8f.png)
 
+RESULT VIDEO
+
+
+https://github.com/SUBHADIPMAITI-DEV/Depression-Detection-System-Using-Machine-Learning/assets/78700974/f70aed97-32f2-4086-a80c-51770771f1c4
+
+
+
  Project Link ➡️ [🔗](https://colab.research.google.com/drive/1YNyzk4WtfaDW5673s5LFI0dpK9tTl5wo?usp=sharing) 
 
 

diff --git a/twitterapiaccount.py b/twitterapiaccount.py
@@ -293,10 +293,11 @@ def train_decision_tree(X_train, X_test, y_train, y_test):
 
 def download_user_tweets():
     # set twitter credentials   
-    api_key = '850YrbsNWucByH06cbS6Ao6xy'
-    api_key_secret = 'lYmg13QM5MzjaN0xs0IxR12B1FvLDCLc2rnQ2cXfgScETEWWp5'
-    access_token = '1580202146255220736-Nca2hdTr9quLSwjh3QIOZSEjyQ8p9a'
-    access_token_secret = 'ivF4kpe9VZSy1Os68iF3mJm3TvXjHpHB2o8dYcIc1MTM9'
+    #insert your API key details
+    api_key = 'api----key----here'
+    api_key_secret = 'api------key-------secret--here'
+    access_token = 'access----token-------here'
+    access_token_secret = 'access----------token-----secret----here'
 
     # Access Twitter Data (login to twitter via api) 
     auth = tweepy.OAuthHandler(api_key, api_key_secret)
@@ -392,4 +393,4 @@ def final_output(predictions):
 
 user_tweets = download_user_tweets()
 predictions = predict_user_tweets(user_tweets)
-final_output(predictions)
+final_output(predictions)