import copy import json import global_vars from chats import pre, post from pingpong import PingPong from gens.batch_gen import get_output_batch from chats.utils import build_prompts, text_stream, internet_search def chat_stream( idx, local_data, user_message, state, global_context, ctx_num_lconv, ctx_sum_prompt, res_temp, res_topp, res_topk, res_rpen, res_mnts, res_beams, res_cache, res_sample, res_eosid, res_padid, sum_temp, sum_topp, sum_topk, sum_rpen, sum_mnts, sum_beams, sum_cache, sum_sample, sum_eosid, sum_padid, internet_option, serper_api_key ): res = [ state["ppmanager_type"].from_json(json.dumps(ppm)) for ppm in local_data ] ppm = res[idx] # add_ping returns a prompt structured in Alpaca form ppm.add_pingpong( PingPong(user_message, "") ) prompt = build_prompts(ppm, global_context, ctx_num_lconv) ####### if internet_option: search_prompt = None for tmp_prompt, uis in internet_search(ppm, serper_api_key, global_context, ctx_num_lconv): search_prompt = tmp_prompt yield "", uis, prompt, str(res) # prepare text generating streamer & start generating gen_kwargs, streamer = pre.build( search_prompt if internet_option else prompt, res_temp, res_topp, res_topk, res_rpen, res_mnts, res_beams, res_cache, res_sample, res_eosid, res_padid, return_token_type_ids=False ) pre.start_gen(gen_kwargs) # handling stream for ppmanager, uis in text_stream(ppm, streamer): yield "", uis, prompt, str(res) ppm = post.strip_pong(ppm) yield "", ppm.build_uis(), prompt, str(res)