'load llm infomation from a json file and add support for OpenRouter' (#1533)

### What problem does this PR solve?

#1467 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Zhedong Cen <cenzhedong2@126.com>
This commit is contained in:
黄腾
2024-07-16 15:19:43 +08:00
committed by GitHub
parent 3657b1f2a2
commit 75086f41a9
8 changed files with 2000 additions and 904 deletions

View File

@ -23,6 +23,8 @@ from openai import OpenAI
import os
import base64
from io import BytesIO
import json
import requests
from api.utils import get_uuid
from api.utils.file_utils import get_project_base_directory
@ -212,7 +214,7 @@ class GeminiCV(Base):
self.model = GenerativeModel(model_name=self.model_name)
self.model._client = _client
self.lang = lang
def describe(self, image, max_tokens=2048):
from PIL.Image import open
gen_config = {'max_output_tokens':max_tokens}
@ -227,6 +229,63 @@ class GeminiCV(Base):
)
return res.text,res.usage_metadata.total_token_count
class OpenRouterCV(Base):
def __init__(
self,
key,
model_name,
lang="Chinese",
base_url="https://openrouter.ai/api/v1/chat/completions",
):
self.model_name = model_name
self.lang = lang
self.base_url = "https://openrouter.ai/api/v1/chat/completions"
self.key = key
def describe(self, image, max_tokens=300):
b64 = self.image2base64(image)
response = requests.post(
url=self.base_url,
headers={
"Authorization": f"Bearer {self.key}",
},
data=json.dumps(
{
"model": self.model_name,
"messages": self.prompt(b64),
"max_tokens": max_tokens,
}
),
)
response = response.json()
return (
response["choices"][0]["message"]["content"].strip(),
response["usage"]["total_tokens"],
)
def prompt(self, b64):
return [
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{b64}"},
},
{
"type": "text",
"text": (
"请用中文详细描述一下图中的内容,比如时间,地点,人物,事情,人物心情等,如果有数据请提取出数据。"
if self.lang.lower() == "chinese"
else "Please describe the content of this picture, like where, when, who, what happen. If it has number data, please extract them out."
),
},
],
}
]
class LocalCV(Base):
def __init__(self, key, model_name="glm-4v", lang="Chinese", **kwargs):
pass