Create app.py

app.py

@@ -0,0 +1,63 @@
+import json
+import streamlit as st
+
+st.set_page_config(page_title="Self-Learning Chatbot")
+st.title("Self-Learning Chatbot")
+
+class ChatBot:
+    def __init__(self, knowledge_base_file='knowledge_base.json'):
+        self.knowledge_base_file = knowledge_base_file
+        self.knowledge_base = self.load_knowledge_base()
+
+    def load_knowledge_base(self):
+        """Load knowledge base from the JSON file."""
+        try:
+            with open(self.knowledge_base_file, "r") as f:
+                return json.load(f)
+        except FileNotFoundError:
+            return {"questions": []}  # Return an empty structure if file does not exist
+
+    def save_knowledge_base(self):
+        """Save knowledge base to the JSON file."""
+        with open(self.knowledge_base_file, 'w') as f:
+            json.dump(self.knowledge_base, f, indent=4)
+
+    def learn_and_response(self, user_input):
+        response = self.find_response(user_input)
+        if response is None:
+            st.write(f"I don't have a response for '{user_input}'. Please teach me:")
+            response = st.text_input(f"Teach me a response for '{user_input}':", key="teach_input")
+            if st.button("Submit Response"):
+                if response:
+                    self.teach_response(user_input, response)
+                    self.save_knowledge_base()  # Save after teaching
+                    st.success("Response saved!")
+                else:
+                    st.warning("Please provide a response before submitting.")
+        return response
+
+    def find_response(self, user_input):
+        for question in self.knowledge_base.get("questions", []):
+            if question['question'].lower() == user_input.lower():
+                return question['response']
+        return None
+
+    def teach_response(self, user_input, response):
+        new_question = {'question': user_input.lower(), 'response': response}
+        if 'questions' not in self.knowledge_base:
+            self.knowledge_base['questions'] = []
+        self.knowledge_base['questions'].append(new_question)
+
+if __name__ == "__main__":
+    # Initialize the chatbot with the JSON file
+    chatbot = ChatBot('knowledge_base.json')
+
+    # User interaction with Streamlit UI
+    user_input = st.text_input("Enter your query below:", key="user_input")
+    if st.button("Submit Query"):
+        if user_input:
+            response = chatbot.learn_and_response(user_input)
+            if response:
+                st.write(f"Bot: {response}")
+        else:
+            st.warning("Please enter a query before submitting.")