| import streamlit as st | |
| from PIL import Image | |
| def set_state_if_absent(key, value): | |
| if key not in st.session_state: | |
| st.session_state[key] = value | |
| def set_initial_state(): | |
| set_state_if_absent("question", "Ask a question") | |
| set_state_if_absent("result", None) | |
| set_state_if_absent("haystack_started", False) | |
| def reset_results(*args): | |
| st.session_state.result = None | |
| def set_hf_api_key(api_key: str): | |
| st.session_state["HUGGING_FACE_TOKEN"] = api_key | |
| def sidebar(): | |
| with st.sidebar: | |
| image = Image.open('logo/haystack-logo-colored.png') | |
| st.markdown( | |
| "## How to use\n" | |
| "1. Enter your Hugging Face TGI API key below\n" | |
| "2. Ask a question\n" | |
| "3. Enjoy 🤗\n" | |
| ) | |
| api_key_input = st.text_input( | |
| "Hugging Face TGI API Key", | |
| type="password", | |
| placeholder="Paste your Hugging Face TGI token here", | |
| value=st.session_state.get("HUGGING_FACE_TOKEN", ""), | |
| ) | |
| if api_key_input: | |
| set_hf_api_key(api_key_input) | |
| st.markdown("---") | |
| st.markdown( | |
| "## How this works\n" | |
| "This app was built with [Haystack](https://haystack.deepset.ai) using the" | |
| " [`PromptNode`](https://docs.haystack.deepset.ai/docs/prompt_node) and custom [`PromptTemplate`](https://docs.haystack.deepset.ai/docs/prompt_node#templates).\n\n" | |
| " The source code is also on [GitHub](https://github.com/TuanaCelik/should-i-follow)" | |
| " with instructions to run locally.\n" | |
| "You can see how the `PromptNode` was set up [here](https://github.com/TuanaCelik/should-i-follow/blob/main/utils/haystack.py)") | |
| st.markdown("---") | |
| st.markdown("Made by [tuanacelik](https://twitter.com/tuanacelik)") | |
| st.markdown("---") | |
| st.markdown("""Thanks to [mmz_001](https://twitter.com/mm_sasmitha) | |
| for open sourcing [KnowledgeGPT](https://knowledgegpt.streamlit.app/) which helped me with this sidebar 🙏🏽""") | |
| st.image(image, width=250) |