code format
This commit is contained in:
yongtenglei
parent
6de01dc601
commit
e202d484ce
1 changed files with 48 additions and 131 deletions
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@ -14,24 +14,27 @@
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# limitations under the License.
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#
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import re
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import base64
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import json
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import os
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import tempfile
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import logging
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import os
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import re
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import tempfile
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from abc import ABC
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from copy import deepcopy
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from io import BytesIO
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from pathlib import Path
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from urllib.parse import urljoin
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import requests
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from openai import OpenAI
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from openai.lib.azure import AzureOpenAI
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from zhipuai import ZhipuAI
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from common.token_utils import num_tokens_from_string, total_token_count_from_response
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from rag.nlp import is_english
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from rag.prompts.generator import vision_llm_describe_prompt
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from common.token_utils import num_tokens_from_string, total_token_count_from_response
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class Base(ABC):
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def __init__(self, **kwargs):
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@ -70,12 +73,7 @@ class Base(ABC):
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pmpt = [{"type": "text", "text": text}]
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for img in images:
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pmpt.append({
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"type": "image_url",
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"image_url": {
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"url": img if isinstance(img, str) and img.startswith("data:") else f"data:image/png;base64,{img}"
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}
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})
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pmpt.append({"type": "image_url", "image_url": {"url": img if isinstance(img, str) and img.startswith("data:") else f"data:image/png;base64,{img}"}})
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return pmpt
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def chat(self, system, history, gen_conf, images=None, **kwargs):
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@ -128,7 +126,7 @@ class Base(ABC):
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try:
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image.save(buffered, format="JPEG")
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except Exception:
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# reset buffer before saving PNG
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# reset buffer before saving PNG
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buffered.seek(0)
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buffered.truncate()
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image.save(buffered, format="PNG")
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@ -158,7 +156,7 @@ class Base(ABC):
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try:
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image.save(buffered, format="JPEG")
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except Exception:
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# reset buffer before saving PNG
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# reset buffer before saving PNG
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buffered.seek(0)
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buffered.truncate()
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image.save(buffered, format="PNG")
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@ -176,18 +174,13 @@ class Base(ABC):
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"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。"
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if self.lang.lower() == "chinese"
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else "Please describe the content of this picture, like where, when, who, what happen. If it has number data, please extract them out.",
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b64
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)
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b64,
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),
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}
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]
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def vision_llm_prompt(self, b64, prompt=None):
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return [
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{
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"role": "user",
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"content": self._image_prompt(prompt if prompt else vision_llm_describe_prompt(), b64)
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}
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]
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return [{"role": "user", "content": self._image_prompt(prompt if prompt else vision_llm_describe_prompt(), b64)}]
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class GptV4(Base):
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@ -208,7 +201,7 @@ class GptV4(Base):
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model=self.model_name,
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messages=self.prompt(b64),
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extra_body=self.extra_body,
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unused = None,
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unused=None,
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)
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return res.choices[0].message.content.strip(), total_token_count_from_response(res)
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@ -219,7 +212,7 @@ class GptV4(Base):
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messages=self.vision_llm_prompt(b64, prompt),
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extra_body=self.extra_body,
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)
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return res.choices[0].message.content.strip(),total_token_count_from_response(res)
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return res.choices[0].message.content.strip(), total_token_count_from_response(res)
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class AzureGptV4(GptV4):
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@ -324,14 +317,12 @@ class Zhipu4V(GptV4):
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self.lang = lang
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Base.__init__(self, **kwargs)
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def _clean_conf(self, gen_conf):
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if "max_tokens" in gen_conf:
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del gen_conf["max_tokens"]
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gen_conf = self._clean_conf_plealty(gen_conf)
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return gen_conf
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def _clean_conf_plealty(self, gen_conf):
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if "presence_penalty" in gen_conf:
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del gen_conf["presence_penalty"]
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@ -339,24 +330,17 @@ class Zhipu4V(GptV4):
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del gen_conf["frequency_penalty"]
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return gen_conf
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def _request(self, msg, stream, gen_conf={}):
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response = requests.post(
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self.base_url,
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json={
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"model": self.model_name,
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"messages": msg,
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"stream": stream,
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**gen_conf
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json={"model": self.model_name, "messages": msg, "stream": stream, **gen_conf},
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headers={
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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},
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headers= {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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}
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)
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return response.json()
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def chat(self, system, history, gen_conf, images=None, stream=False, **kwargs):
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if system and history and history[0].get("role") != "system":
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history.insert(0, {"role": "system", "content": system})
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@ -370,7 +354,6 @@ class Zhipu4V(GptV4):
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cleaned = re.sub(r"<\|(begin_of_box|end_of_box)\|>", "", content).strip()
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return cleaned, total_token_count_from_response(response)
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def chat_streamly(self, system, history, gen_conf, images=None, **kwargs):
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from rag.llm.chat_model import LENGTH_NOTIFICATION_CN, LENGTH_NOTIFICATION_EN
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from rag.nlp import is_chinese
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@ -402,38 +385,18 @@ class Zhipu4V(GptV4):
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yield tk_count
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def describe(self, image):
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return self.describe_with_prompt(image)
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def describe_with_prompt(self, image, prompt=None):
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b64 = self.image2base64(image)
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if prompt is None:
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prompt = "Describe this image."
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# Chat messages
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": { "url": b64 }
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},
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{
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"type": "text",
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"text": prompt
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}
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]
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}
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]
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messages = [{"role": "user", "content": [{"type": "image_url", "image_url": {"url": b64}}, {"type": "text", "text": prompt}]}]
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resp = self.client.chat.completions.create(
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model=self.model_name,
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messages=messages,
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stream=False
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)
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resp = self.client.chat.completions.create(model=self.model_name, messages=messages, stream=False)
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content = resp.choices[0].message.content.strip()
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cleaned = re.sub(r"<\|(begin_of_box|end_of_box)\|>", "", content).strip()
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@ -452,6 +415,7 @@ class StepFunCV(GptV4):
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self.lang = lang
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Base.__init__(self, **kwargs)
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class VolcEngineCV(GptV4):
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_FACTORY_NAME = "VolcEngine"
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@ -464,6 +428,7 @@ class VolcEngineCV(GptV4):
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self.lang = lang
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Base.__init__(self, **kwargs)
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class LmStudioCV(GptV4):
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_FACTORY_NAME = "LM-Studio"
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@ -502,13 +467,7 @@ class TogetherAICV(GptV4):
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class YiCV(GptV4):
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_FACTORY_NAME = "01.AI"
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def __init__(
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self,
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key,
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model_name,
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lang="Chinese",
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base_url="https://api.lingyiwanwu.com/v1", **kwargs
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):
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def __init__(self, key, model_name, lang="Chinese", base_url="https://api.lingyiwanwu.com/v1", **kwargs):
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if not base_url:
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base_url = "https://api.lingyiwanwu.com/v1"
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super().__init__(key, model_name, lang, base_url, **kwargs)
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@ -517,13 +476,7 @@ class YiCV(GptV4):
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class SILICONFLOWCV(GptV4):
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_FACTORY_NAME = "SILICONFLOW"
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def __init__(
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self,
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key,
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model_name,
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lang="Chinese",
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base_url="https://api.siliconflow.cn/v1", **kwargs
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):
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def __init__(self, key, model_name, lang="Chinese", base_url="https://api.siliconflow.cn/v1", **kwargs):
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if not base_url:
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base_url = "https://api.siliconflow.cn/v1"
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super().__init__(key, model_name, lang, base_url, **kwargs)
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@ -532,13 +485,7 @@ class SILICONFLOWCV(GptV4):
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class OpenRouterCV(GptV4):
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_FACTORY_NAME = "OpenRouter"
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def __init__(
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self,
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key,
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model_name,
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lang="Chinese",
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base_url="https://openrouter.ai/api/v1", **kwargs
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):
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def __init__(self, key, model_name, lang="Chinese", base_url="https://openrouter.ai/api/v1", **kwargs):
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if not base_url:
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base_url = "https://openrouter.ai/api/v1"
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api_key = json.loads(key).get("api_key", "")
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@ -549,6 +496,7 @@ class OpenRouterCV(GptV4):
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provider_order = json.loads(key).get("provider_order", "")
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self.extra_body = {}
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if provider_order:
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def _to_order_list(x):
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if x is None:
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return []
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@ -557,6 +505,7 @@ class OpenRouterCV(GptV4):
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if isinstance(x, (list, tuple)):
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return [str(s).strip() for s in x if str(s).strip()]
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return []
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provider_cfg = {}
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provider_order = _to_order_list(provider_order)
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provider_cfg["order"] = provider_order
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@ -616,18 +565,18 @@ class OllamaCV(Base):
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def __init__(self, key, model_name, lang="Chinese", **kwargs):
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from ollama import Client
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self.client = Client(host=kwargs["base_url"])
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self.model_name = model_name
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self.lang = lang
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self.keep_alive = kwargs.get("ollama_keep_alive", int(os.environ.get("OLLAMA_KEEP_ALIVE", -1)))
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Base.__init__(self, **kwargs)
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def _clean_img(self, img):
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if not isinstance(img, str):
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return img
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#remove the header like "data/*;base64,"
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# remove the header like "data/*;base64,"
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if img.startswith("data:") and ";base64," in img:
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img = img.split(";base64,")[1]
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return img
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@ -687,12 +636,7 @@ class OllamaCV(Base):
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def chat(self, system, history, gen_conf, images=None, **kwargs):
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try:
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response = self.client.chat(
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model=self.model_name,
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messages=self._form_history(system, history, images),
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options=self._clean_conf(gen_conf),
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keep_alive=self.keep_alive
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)
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response = self.client.chat(model=self.model_name, messages=self._form_history(system, history, images), options=self._clean_conf(gen_conf), keep_alive=self.keep_alive)
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ans = response["message"]["content"].strip()
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return ans, response["eval_count"] + response.get("prompt_eval_count", 0)
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@ -702,13 +646,7 @@ class OllamaCV(Base):
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def chat_streamly(self, system, history, gen_conf, images=None, **kwargs):
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ans = ""
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try:
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response = self.client.chat(
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model=self.model_name,
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messages=self._form_history(system, history, images),
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stream=True,
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options=self._clean_conf(gen_conf),
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keep_alive=self.keep_alive
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)
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response = self.client.chat(model=self.model_name, messages=self._form_history(system, history, images), stream=True, options=self._clean_conf(gen_conf), keep_alive=self.keep_alive)
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for resp in response:
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if resp["done"]:
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yield resp.get("prompt_eval_count", 0) + resp.get("eval_count", 0)
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@ -823,7 +761,6 @@ class GeminiCV(Base):
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def describe_with_prompt(self, image, prompt=None):
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from google.genai import types
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vision_prompt = prompt if prompt else vision_llm_describe_prompt()
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contents = [
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@ -842,7 +779,6 @@ class GeminiCV(Base):
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)
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return res.text, total_token_count_from_response(res)
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def chat(self, system, history, gen_conf, images=None, video_bytes=None, filename="", **kwargs):
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if video_bytes:
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try:
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@ -921,10 +857,7 @@ class GeminiCV(Base):
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if video_size_mb <= 20:
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response = client.models.generate_content(
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model="models/gemini-2.5-flash",
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contents=types.Content(parts=[
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types.Part(inline_data=types.Blob(data=video_bytes, mime_type="video/mp4")),
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types.Part(text="Please summarize the video in proper sentences.")
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])
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contents=types.Content(parts=[types.Part(inline_data=types.Blob(data=video_bytes, mime_type="video/mp4")), types.Part(text="Please summarize the video in proper sentences.")]),
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)
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else:
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logging.info(f"Video size {video_size_mb:.2f}MB exceeds 20MB. Using Files API...")
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@ -934,10 +867,7 @@ class GeminiCV(Base):
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tmp_path = Path(tmp.name)
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uploaded_file = client.files.upload(file=tmp_path)
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response = client.models.generate_content(
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model="gemini-2.5-flash",
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contents=[uploaded_file, "Please summarize this video in proper sentences."]
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)
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response = client.models.generate_content(model="gemini-2.5-flash", contents=[uploaded_file, "Please summarize this video in proper sentences."])
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summary = response.text or ""
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logging.info(f"[GeminiCV] Video summarized: {summary[:32]}...")
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@ -953,13 +883,7 @@ class GeminiCV(Base):
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class NvidiaCV(Base):
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_FACTORY_NAME = "NVIDIA"
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def __init__(
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self,
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key,
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model_name,
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lang="Chinese",
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base_url="https://ai.api.nvidia.com/v1/vlm", **kwargs
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):
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def __init__(self, key, model_name, lang="Chinese", base_url="https://ai.api.nvidia.com/v1/vlm", **kwargs):
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if not base_url:
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base_url = ("https://ai.api.nvidia.com/v1/vlm",)
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self.lang = lang
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@ -1004,9 +928,7 @@ class NvidiaCV(Base):
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"content-type": "application/json",
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"Authorization": f"Bearer {self.key}",
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},
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json={
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"messages": msg, **gen_conf
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},
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json={"messages": msg, **gen_conf},
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)
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return response.json()
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|
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@ -1014,18 +936,12 @@ class NvidiaCV(Base):
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b64 = self.image2base64(image)
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vision_prompt = self.vision_llm_prompt(b64, prompt) if prompt else self.vision_llm_prompt(b64)
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response = self._request(vision_prompt)
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return (
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response["choices"][0]["message"]["content"].strip(),
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total_token_count_from_response(response)
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)
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return (response["choices"][0]["message"]["content"].strip(), total_token_count_from_response(response))
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def chat(self, system, history, gen_conf, images=None, **kwargs):
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try:
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response = self._request(self._form_history(system, history, images), gen_conf)
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return (
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response["choices"][0]["message"]["content"].strip(),
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total_token_count_from_response(response)
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)
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return (response["choices"][0]["message"]["content"].strip(), total_token_count_from_response(response))
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except Exception as e:
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return "**ERROR**: " + str(e), 0
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|
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@ -1034,7 +950,7 @@ class NvidiaCV(Base):
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try:
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response = self._request(self._form_history(system, history, images), gen_conf)
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cnt = response["choices"][0]["message"]["content"]
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total_tokens += total_token_count_from_response(response)
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total_tokens += total_token_count_from_response(response)
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for resp in cnt:
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yield resp
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except Exception as e:
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|
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@ -1062,14 +978,15 @@ class AnthropicCV(Base):
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return text
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pmpt = [{"type": "text", "text": text}]
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for img in images:
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pmpt.append({
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": (img.split(":")[1].split(";")[0] if isinstance(img, str) and img[:4] == "data" else "image/png"),
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"data": (img.split(",")[1] if isinstance(img, str) and img[:4] == "data" else img)
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},
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}
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||||
pmpt.append(
|
||||
{
|
||||
"type": "image",
|
||||
"source": {
|
||||
"type": "base64",
|
||||
"media_type": (img.split(":")[1].split(";")[0] if isinstance(img, str) and img[:4] == "data" else "image/png"),
|
||||
"data": (img.split(",")[1] if isinstance(img, str) and img[:4] == "data" else img),
|
||||
},
|
||||
}
|
||||
)
|
||||
return pmpt
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue