Spaces:
Runtime error
Runtime error
File size: 1,910 Bytes
cca4857 |
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 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import time
import uuid
from typing import Literal
from llama_index.llms import ChatResponse
from pydantic import BaseModel, Field
from app.server.chat.schemas import Chunk
class OpenAIMessage(BaseModel):
"""Inference result, with the source of the message.
Role could be the assistant or system
(providing a default response, not AI generated).
"""
role: Literal["assistant", "system", "user"] = Field(default="user")
content: str | None
class OpenAIChoice(BaseModel):
"""Response from AI."""
finish_reason: str | None = Field(examples=["stop"])
message: OpenAIMessage | None = None
sources: list[Chunk] | None = None
index: int = 0
class OpenAICompletion(BaseModel):
"""Clone of OpenAI Completion model.
For more information see: https://platform.openai.com/docs/api-reference/chat/object
"""
id: str
object: Literal["completion", "completion.chunk"] = Field(default="completion")
created: int = Field(..., examples=[1623340000])
model: Literal["llm-agriculture"]
choices: list[OpenAIChoice]
@classmethod
def from_text(
cls,
text: str | None,
finish_reason: str | None = None,
sources: list[Chunk] | None = None,
) -> "OpenAICompletion":
return OpenAICompletion(
id=str(uuid.uuid4()),
object="completion",
created=int(time.time()),
model="llm-agriculture",
choices=[
OpenAIChoice(
message=OpenAIMessage(role="assistant", content=text),
finish_reason=finish_reason,
sources=sources,
)
],
)
def to_openai_response(
response: str | ChatResponse, sources: list[Chunk] | None = None
) -> OpenAICompletion:
return OpenAICompletion.from_text(response, finish_reason="stop", sources=sources)
|