Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| from streamlit import session_state as state | |
| import pipline | |
| if "app" not in state: | |
| state.app = "model" | |
| state.out = "" | |
| st.title("Streamlit using Huggingface Transformers and langchain") | |
| in_area = st.container() | |
| out_area = st.container() | |
| def __run_pipline(): | |
| out_area.markdown(":green[Running pipline]") | |
| out_area.text(pipline.chain_TI(state.input_text)) | |
| in_area.text_area("input_text", key="input_text") | |
| in_area.button("run", on_click=__run_pipline) |