Application

app.py

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+import os 
+import streamlit as st
+from langchain.chains import ConverstationChain
+from langchain_openai import ChatOpenAI
+from langchain.memory import ConversationBufferMemory
+
+os.environ["OPENAI_API_KEY"] = ""
+
+# Intialize the chatbot
+@st.cache_resource
+def init_chatbot():
+    memory = ConversationBufferMemory()
+    chatbot = ConverstationChain(
+        llm =ChatOpenAI(model = "gpt-4o-mini"),
+        memory = memory,
+        verbose = False
+    )
+
+    return chatbot
+
+# Streamlit Application
+st.title("Langchain Chatbot")
+st.write("Hi, I'm a chatbot built with Langchain powered by GPT. How can I assist you today?")
+
+user_input = st.text_input("You:", placeholder = "Ask me anything....")
+
+if user_input:
+    with st.spinner("Thinking......"):
+        resp = chatbot.run(user_input)
+        st.write(f"Chatbot: {resp}")