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 # ChatBot
-Here, I trained a Chatbot using Natural Language Processing and Neural Networks. I used the Spacy Library to tokenize the words and I vectorized them with CNNs. So far, the chat bot is very limited, which I owe to the lack of data. I learned quite a lot from this project (Besides implementing NLP to build a chatbot, I learned a little bit of how javascript and Flask work-- some keyterms I learned include http, CORS, sockets, clients, servers, broadcasting to a server, POST, GET, socket emit and send, etc..)
+Here, I trained a Chatbot using Natural Language Processing and Neural Networks. Tools I used are Javascript/HTML/CSS, Pytorch and Flask/Socket. I also used the Spacy Library to tokenize the words and I vectorized them with CNNs. So far, the chat bot is very limited, which I owe to the lack of data. I learned quite a lot from this project (Besides implementing NLP to build a chatbot, I learned a little bit of how javascript and Flask work-- some keyterms I learned include http, CORS, sockets, clients, servers, broadcasting to a server, POST, GET, socket emit and send, etc..)
 ## Data
 - Data was generated by me 
 - To see the Data, view  ```intents.json``` on ``Neural Networks`` Folder