Update app.py

app.py

@@ -7,4 +7,16 @@ from langchain.document_loaders import TextLoader
 from langchain.chains import RetrievalQA
 import os
 os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'
-llm = HuggingFaceHub(repo_id="google/flan-t5-xxl")
+llm = HuggingFaceHub(repo_id="google/flan-t5-xxl")
+B=open('us.txt')
+Biden=B.read()
+loader = TextLoader(Biden)
+text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+texts = text_splitter.split_documents(documents)
+db = Chroma.from_documents(texts, embeddings)
+qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)
+def answer(query):
+  out=qa.run(query)
+  return out
+demo = gr.Interface(fn=answer, inputs='text',outputs='text',examples=[['What did the president say about Ketanji Jackson Brown']])
+demo.launch()