Create app.py

app.py

@@ -0,0 +1,71 @@
+import os
+import streamlit as st
+import random
+import time
+
+from langchain.chains import RetrievalQA
+from langchain.chat_models import ChatOpenAI
+from langchain.document_loaders import DataFrameLoader
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import Chroma
+
+
+# Get OpenAI setup
+openai_api_key = os.getenv("openai_token")
+embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)
+
+@st.cache_resource
+def get_vectordb():
+    embedding = OpenAIEmbeddings(openai_api_key=os.getenv("openai_token"))
+    return Chroma(persist_directory="./chroma_db", embedding_function=embedding)
+
+vectordb = get_vectordb()
+
+# # Setup vector database
+# persist_directory = './chroma_db'
+# vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
+
+llm_name = "gpt-3.5-turbo"
+
+llm = ChatOpenAI(model_name=llm_name, temperature=0.7,
+                 openai_api_key=openai_api_key)
+
+qa_chain = RetrievalQA.from_chain_type(
+    llm,
+    retriever=vectordb.as_retriever(search_kwargs={"k": 5})
+)
+
+
+# Streamed response emulator
+def response_generator(prompt):
+    response = qa_chain({"query": prompt})['result']   
+    
+    for word in response.split():
+        yield word + " "
+        time.sleep(0.05)
+
+
+st.title("Technical Support Chatbot")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Accept user input
+if prompt := st.chat_input("Enter your question here"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        response = st.write_stream(response_generator(prompt))
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})