Update app.py

app.py

@@ -1,5 +1,33 @@
 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
 
-st.title("this")
+
+# 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))