Create app.py

app.py

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+import os
+os.environ['OPENAI_API_KEY'] = "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"
+
+
+###Chat model
+from langchain.schema import (
+    AIMessage,
+    HumanMessage,
+    SystemMessage
+)
+from langchain.chat_models import ChatOpenAI
+
+chat = ChatOpenAI()
+
+###Memory
+from langchain.llms import OpenAI
+from langchain.memory import ConversationSummaryMemory
+
+llm = OpenAI(temperature=0)
+memory = ConversationSummaryMemory(llm=llm,memory_key="chat_history",return_messages=True)
+
+####Retrieval
+from langchain.document_loaders import DirectoryLoader
+# from langchain.document_loaders import WebBaseLoader
+
+# loader = WebBaseLoader("https://www.hdfclife.com/insurance-knowledge-centre/about-life-insurance/health-insurance-meaning-and-types")
+loader = DirectoryLoader('beshak/', glob="**/*.md")
+data = loader.load()
+
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
+all_splits = text_splitter.split_documents(data)
+
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import Chroma
+
+
+vectorstore = Chroma.from_documents(documents=all_splits, embedding=OpenAIEmbeddings())
+
+
+from langchain.chains import ConversationalRetrievalChain
+llm = ChatOpenAI()
+retriever = vectorstore.as_retriever()
+qa = ConversationalRetrievalChain.from_llm(llm, retriever=retriever, memory=memory)
+
+print(qa("You're a helpful AI assistant that answers questions about health insurance.")["answer"])
+print(qa("What is health insurance?")["answer"])
+
+import gradio as gr
+
+def chatbot_response(message, history):
+  return qa(message)["answer"]
+
+gr.ChatInterface(
+  chatbot_response,
+    chatbot=gr.Chatbot(height=400),
+    textbox=gr.Textbox(placeholder="Ask me question about health insurance", container=False, scale=7),
+    title="Get Simple Health",
+    description="Ask any health insurance related question",
+    theme="soft",
+    examples=["Hello", "What is health insurance?", "What is critical ilness?"],
+    cache_examples=True,
+    retry_btn=None,
+    undo_btn="Delete Previous",
+    clear_btn="Clear",
+).launch(share=True)
+
+
+