| import streamlit as st | |
| from streamlit_chat import message | |
| from LLM import LLM | |
| st.set_page_config( | |
| page_title="Streamlit Chat - Demo", | |
| page_icon=":robot:" | |
| ) | |
| # API_URL = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill" | |
| # headers = {"Authorization": st.secrets['api_key']} | |
| st.header("Streamlit Chat - Demo") | |
| # st.markdown("[Github](https://github.com/ai-yash/st-chat)") | |
| if 'generated' not in st.session_state: | |
| st.session_state['generated'] = ['new'] | |
| if 'past' not in st.session_state: | |
| st.session_state['past'] = ['new'] | |
| def query(chat, payload): | |
| response = chat.answerStoreHistory(qn=payload) | |
| return response | |
| def get_text(): | |
| input_text = st.text_input("You: ", "Hello, how are you?", key="input") | |
| return input_text | |
| user_input = get_text() | |
| llm = LLM("gpt2") | |
| chat = llm.get_chat(context="You are an helpfully assistant in a school. You are helping a student with his homework.") | |
| if user_input: | |
| output = chat.answerStoreHistory(qn=user_input) | |
| st.session_state.past.append(user_input) | |
| st.session_state.generated.append(output) | |
| if st.session_state['generated']: | |
| for i in range(len(st.session_state['generated'])-1, -1, -1): | |
| message(st.session_state["generated"][i], key=str(i)) | |
| message(st.session_state['past'][i], is_user=True, key=str(i) + '_user') | |