Added app.py file

app.py

@@ -0,0 +1,19 @@
+import streamlit as st
+
+st.set_page_config(
+    page_title="Langchain Chatbot",
+    page_icon='💬',
+    layout='wide'
+)
+
+st.header("Chatbot Implementations with Langchain")
+
+st.write("""
+Langchain is a powerful framework designed to streamline the development of applications using Language Models (LLMs). It provides a comprehensive integration of various components, simplifying the process of assembling them to create robust applications.
+Leveraging the power of Langchain, the creation of chatbots becomes effortless. Here are a few examples of chatbot implementations catering to different use cases:
+- **Basic Chatbot**: Engage in interactive conversations with the LLM.
+- **Context aware chatbot**: A chatbot that remembers previous conversations and provides responses accordingly.
+- **Chatbot with Internet Access**: An internet-enabled chatbot capable of answering user queries about recent events.
+- **Chat with your documents**: Empower the chatbot with the ability to access custom documents, enabling it to provide answers to user queries based on the referenced information.
+We will improve this implementation to include these examples as we progress in the course.
+""")