Update app.py

app.py

@@ -21,11 +21,13 @@ 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': 6000})
+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.write(retireval_chain.run(query))
+
+