Update app.py

app.py

@@ -1,33 +1,5 @@
 import streamlit as st 
-from langchain.document_loaders import TextLoader
-import os
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.embeddings import HuggingFaceEmbeddings
-from langchain.vectorstores import Chroma
-from langchain import HuggingFaceHub
-from langchain.chains import RetrievalQA
 
-
-# load huggingface api key
-hub_token = os.environ["hub_key"]
-
-# Load text
-loader = TextLoader("testing.txt")
-documents = loader.load()
-splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=20)
-docs = splitter.split_documents(documents)
-
-embeddings = HuggingFaceEmbeddings()
-doc_search = Chroma.from_documents(docs, embeddings)
-
-repo_id = "tiiuae/falcon-7b"
-llm = HuggingFaceHub(repo_id=repo_id, huggingfacehub_api_token=hub_token, model_kwargs={'temperature': 0.2,'min_length': 4000})
-
-from langchain.schema import retriever
-retireval_chain = RetrievalQA.from_chain_type(llm, chain_type="stuff", retriever=doc_search.as_retriever())
-
-if query := st.chat_input("Enter your query "):
-    with st.chat_message("Assistant"):
-        st.write(retireval_chain.run(query))
+st.title("this")