ajeetkumar01
commited on
Commit
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ff00302
1
Parent(s):
720cf6a
Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,10 @@
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import json
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import streamlit as st
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st.set_page_config(page_title="Self-Learning Chatbot")
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st.title("Self-Learning Chatbot")
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@@ -8,7 +13,6 @@ class ChatBot:
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def __init__(self, knowledge_base_file='knowledge_base.json'):
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self.knowledge_base_file = knowledge_base_file
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self.knowledge_base = self.load_knowledge_base()
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st.write(f"Loaded knowledge base: {self.knowledge_base}")
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def load_knowledge_base(self):
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"""Load knowledge base from the JSON file."""
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@@ -16,41 +20,37 @@ class ChatBot:
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with open(self.knowledge_base_file, "r") as f:
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return json.load(f)
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except FileNotFoundError:
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st.write("Knowledge base file not found, starting with an empty knowledge base.")
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return {"questions": []} # Return an empty structure if file does not exist
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def save_knowledge_base(self):
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"""Save knowledge base to the JSON file."""
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with open(self.knowledge_base_file, 'w') as f:
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json.dump(self.knowledge_base, f, indent=4)
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def find_response(self, user_input):
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for question in self.knowledge_base.get("questions", []):
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if question['question'].lower() ==
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return question['response']
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return None
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def learn_and_response(self, user_input):
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response = self.find_response(user_input)
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if response:
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st.write(f"Bot: {response}")
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else:
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st.write(f"I don't have a response for '{user_input}'. Please teach me:")
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response_input = st.text_input(f"Teach me a response for '{user_input}':", key="teach_input")
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if st.button("Submit Response"):
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if response_input:
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self.teach_response(user_input, response_input)
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st.success(f"Response saved for '{user_input}': {response_input}")
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else:
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st.warning("Please provide a response before submitting.")
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def teach_response(self, user_input, response):
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"""Teach the bot a new response."""
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new_question = {'question': user_input.lower(), 'response': response}
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self.knowledge_base['questions'].append(new_question)
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self.save_knowledge_base() # Save the updated knowledge base
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if __name__ == "__main__":
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# Initialize the chatbot with the JSON file
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@@ -58,8 +58,7 @@ if __name__ == "__main__":
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# User interaction with Streamlit UI
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user_input = st.text_input("Enter your query below:", key="user_input")
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if
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st.warning("Please enter a query before submitting.")
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import json
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import streamlit as st
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import nltk
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from nltk.tokenize import word_tokenize
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# Ensure 'punkt' resource is downloaded
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nltk.download('punkt')
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st.set_page_config(page_title="Self-Learning Chatbot")
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st.title("Self-Learning Chatbot")
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def __init__(self, knowledge_base_file='knowledge_base.json'):
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self.knowledge_base_file = knowledge_base_file
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self.knowledge_base = self.load_knowledge_base()
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def load_knowledge_base(self):
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"""Load knowledge base from the JSON file."""
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with open(self.knowledge_base_file, "r") as f:
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return json.load(f)
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except FileNotFoundError:
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return {"questions": []} # Return an empty structure if file does not exist
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def save_knowledge_base(self):
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"""Save knowledge base to the JSON file."""
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with open(self.knowledge_base_file, 'w') as f:
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json.dump(self.knowledge_base, f, indent=4)
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def learn_and_respond(self, user_input):
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response = self.find_response(user_input)
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if response is None:
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response = st.text_input(f"I don't have a response for '{user_input}'. Please teach me:", key="response_input")
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if response: # Only teach a response if something is entered
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self.teach_response(user_input, response)
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st.success("Learned successfully!")
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# Save the updated knowledge base to the JSON file
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self.save_knowledge_base()
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return response
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def find_response(self, user_input):
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tokens = word_tokenize(user_input.lower())
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for question in self.knowledge_base.get("questions", []):
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if word_tokenize(question['question'].lower()) == tokens:
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return question['response']
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return None
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def teach_response(self, user_input, response):
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new_question = {'question': user_input.lower(), 'response': response}
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if 'questions' not in self.knowledge_base:
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self.knowledge_base['questions'] = []
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self.knowledge_base['questions'].append(new_question)
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if __name__ == "__main__":
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# Initialize the chatbot with the JSON file
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# User interaction with Streamlit UI
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user_input = st.text_input("Enter your query below:", key="user_input")
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if user_input:
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response = chatbot.learn_and_respond(user_input)
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if response:
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st.write(f"Bot: {response}")
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