1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
|
import os
from dataclasses import asdict
from typing import Any, Generator
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 rerank(self, prompt: Prompt):
response = self.client.rerank(
model="rerank-english-v3.0",
query=prompt.query,
documents=[d.text for d in prompt.documents],
top_n=3,
)
ranking = list(
filter(lambda x: x.relevance_score > 0.5, response.results)
)
prompt.documents = [prompt.documents[r.index] for r in ranking]
return prompt
def generate(self, prompt: Prompt) -> Generator[Any, Any, Any]:
log.debug("Generating answer from cohere...")
if prompt.documents:
prompt = self.rerank(prompt)
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
|
