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| import streamlit as st | |
| from middlewares.utils import gen_augmented_prompt_via_websearch | |
| from middlewares.chat_client import chat | |
| def generate_chat_stream(session_state, prompt, config): | |
| # 1. augments prompt according to the template | |
| # 2. returns chat_stream and source links | |
| # 3. chat_stream and source links are used by stream_handler and show_source | |
| chat_bot_dict = config["CHAT_BOTS"] | |
| links = [] | |
| if session_state.rag_enabled: | |
| with st.spinner("Fetching relevent documents from Web...."): | |
| prompt, links = gen_augmented_prompt_via_websearch( | |
| prompt=prompt, | |
| pre_context=session_state.pre_context, | |
| post_context=session_state.post_context, | |
| pre_prompt=session_state.pre_prompt, | |
| post_prompt=session_state.post_prompt, | |
| search_vendor=session_state.search_vendor, | |
| top_k=session_state.top_k, | |
| n_crawl=session_state.n_crawl, | |
| pass_prev=session_state.pass_prev, | |
| prev_output=session_state.history[-1][1], | |
| ) | |
| with st.spinner("Generating response..."): | |
| chat_stream = chat( | |
| prompt, | |
| session_state.history, | |
| chat_client=chat_bot_dict[session_state.chat_bot], | |
| temperature=session_state.temp, | |
| max_new_tokens=session_state.max_tokens, | |
| ) | |
| return chat_stream, links | |