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Allow extra request fields like api_key
Browse files- __pycache__/app.cpython-312.pyc +0 -0
- app.py +8 -4
__pycache__/app.cpython-312.pyc
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Binary file (20.8 kB). View file
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app.py
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@@ -13,7 +13,7 @@ import torch.nn.functional as F
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import PlainTextResponse
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from PIL import Image
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from pydantic import BaseModel, Field
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from sentence_transformers import SentenceTransformer
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from transformers import AutoModelForCausalLM, AutoModelForSequenceClassification, AutoTokenizer
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@@ -62,7 +62,11 @@ _loaded_kind: str | None = None
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_loaded_bundle: dict[str, Any] = {}
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class
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input: str | list[str]
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model: str = DEFAULT_MODEL
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encoding_format: Literal["float", "base64"] = "float"
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@@ -71,7 +75,7 @@ class EmbeddingRequest(BaseModel):
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modality: Literal["text", "image"] = "text"
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class RerankRequest(
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query: str = Field(..., max_length=122880)
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documents: list[str] = Field(..., min_length=1, max_length=2048)
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return_documents: bool = False
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@@ -80,7 +84,7 @@ class RerankRequest(BaseModel):
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top_n: int | None = None
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class ClassifyRequest(
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input: list[str] = Field(..., min_length=1, max_length=2048)
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model: str = DEFAULT_MODEL
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raw_scores: bool = False
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import PlainTextResponse
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from PIL import Image
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from pydantic import BaseModel, ConfigDict, Field
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from sentence_transformers import SentenceTransformer
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from transformers import AutoModelForCausalLM, AutoModelForSequenceClassification, AutoTokenizer
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_loaded_bundle: dict[str, Any] = {}
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class CompatibleRequest(BaseModel):
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model_config = ConfigDict(extra="allow")
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class EmbeddingRequest(CompatibleRequest):
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input: str | list[str]
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model: str = DEFAULT_MODEL
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encoding_format: Literal["float", "base64"] = "float"
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modality: Literal["text", "image"] = "text"
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class RerankRequest(CompatibleRequest):
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query: str = Field(..., max_length=122880)
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documents: list[str] = Field(..., min_length=1, max_length=2048)
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return_documents: bool = False
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top_n: int | None = None
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class ClassifyRequest(CompatibleRequest):
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input: list[str] = Field(..., min_length=1, max_length=2048)
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model: str = DEFAULT_MODEL
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raw_scores: bool = False
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