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import os
from dataclasses import asdict
from typing import Any, Dict, Generator, List
import cohere
from loguru import logger as log
from .abstract import AbstractGenerator
from .prompt import ANSWER_INSTRUCTION, Prompt
class Cohere(metaclass=AbstractGenerator):
def __init__(self) -> None:
self.client = cohere.Client(os.environ["COHERE_API_KEY"])
def generate(self, prompt: Prompt) -> Generator[Any, Any, Any]:
log.debug("Generating answer from cohere...")
query = f"{prompt.query}\n\n{ANSWER_INSTRUCTION}"
for event in self.client.chat_stream(
message=query,
documents=[asdict(d) for d in prompt.documents],
prompt_truncation="AUTO",
):
if event.event_type == "text-generation":
yield event.text
elif event.event_type == "citation-generation":
yield event.citations
elif event.event_type == "stream-end":
yield event.finish_reason
def chat(
self, prompt: Prompt, messages: List[Dict[str, str]]
) -> Generator[Any, Any, Any]:
log.debug("Generating answer from cohere...")
query = f"{prompt.query}\n\n{ANSWER_INSTRUCTION}"
for event in self.client.chat_stream(
message=query,
documents=[asdict(d) for d in prompt.documents],
chat_history=messages,
prompt_truncation="AUTO",
):
if event.event_type == "text-generation":
yield event.text
# elif event.event_type == "citation-generation":
# yield event.citations
elif event.event_type == "stream-end":
yield event.finish_reason
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