Upload 2 files

pages/1_💬_basic_chatbot.py

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+import utils
+import streamlit as st
+from streaming import StreamHandler
+
+from langchain_openai import ChatOpenAI
+from langchain.chains.conversation.base import ConversationChain
+
+st.set_page_config(page_title="Chatbot", page_icon="💬")
+st.header('Basic Chatbot')
+st.write('Allows users to interact with a Language Model')
+
+class BasicChatbot:
+
+    def __init__(self):
+        self.openai_model = utils.configure_openai()
+
+    def setup_chain(self):
+        llm = ChatOpenAI(model_name=self.openai_model, temperature=0, streaming=True)
+        chain = ConversationChain(llm=llm, verbose=True)
+        return chain
+
+    @utils.enable_chat_history
+    def main(self):
+        chain = self.setup_chain()
+        user_query = st.chat_input(placeholder="Ask me anything!")
+        if user_query:
+            utils.display_msg(user_query, 'user')
+            with st.chat_message("assistant"):
+                st_cb = StreamHandler(st.empty())
+                result = chain.invoke(
+                    {"input":user_query},
+                    {"callbacks": [st_cb]}
+                )
+                response = result["response"]
+                st.session_state.messages.append({"role": "assistant", "content": response})
+
+if __name__ == "__main__":
+    obj = BasicChatbot()
+    obj.main()

pages/2_🧠_context_aware_chatbot.py

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+import utils
+import streamlit as st
+from streaming import StreamHandler
+
+from langchain_openai import ChatOpenAI
+from langchain.chains.conversation.base import ConversationChain
+from langchain.memory.buffer import ConversationBufferMemory
+from langchain.memory import ConversationSummaryMemory
+
+st.set_page_config(page_title="Context aware chatbot", page_icon="🧠")
+st.header('Context aware chatbot')
+st.write('Enhancing Chatbot Interactions through Context Awareness')
+
+class ContextChatbot:
+
+    def __init__(self):
+        self.openai_model = utils.configure_openai()
+
+    @st.cache_resource
+    def setup_chain(_self):
+        summarizer = ChatOpenAI(model_name= "gpt-4o", temperature=0, streaming=True)
+        memory = ConversationSummaryMemory(llm = summarizer)
+        llm = ChatOpenAI(model_name=_self.openai_model, temperature=0, streaming=True)
+        chain = ConversationChain(llm=llm, memory=memory, verbose=True)
+        return chain
+
+    @utils.enable_chat_history
+    def main(self):
+        chain = self.setup_chain()
+        user_query = st.chat_input(placeholder="Ask me anything!")
+        if user_query:
+            utils.display_msg(user_query, 'user')
+            with st.chat_message("assistant"):
+                st_cb = StreamHandler(st.empty())
+                result = chain.invoke(
+                    {"input":user_query},
+                    {"callbacks": [st_cb]}
+                )
+                response = result["response"]
+                st.session_state.messages.append({"role": "assistant", "content": response})
+
+if __name__ == "__main__":
+    obj = ContextChatbot()
+    obj.main()
+