g4f version update

.github/workflows/translate-readme.yml

@@ -17,5 +17,4 @@ jobs:
  uses: ./
  with:
  token: ${{ secrets.Action_Bot }} # Your token
- g4f_provider: g4f.Provider.DeepAi # You can change this provider
  langs: "en,zh-TW,zh-CN,French,Arabic" # You can define any langs

README.zh-TW.md

@@ -82,14 +82,12 @@
  uses: Lin-jun-xiang/action-translate-readme@v2 # Based on the tag
  with:
  token: ${{ secrets.Action_Bot }} # Based on step2 name
- g4f_provider: g4f.Provider.DeepAi # You can change this provider
  langs: "en,zh-TW,zh-CN,French,Arabic" # You can define any langs
  ```
 
  在`.yml`中有三個參數要特別注意:
 
  * `token`: 根據步驟2，在repos中建立的token
- * `g4f_provider`: gpt 的提供者，更多請參考[連結](https://github.com/xtekky/gpt4free/tree/main#gpt-35--gpt-4)
  * `langs`: 想要產生的語言版本，務必用`,`分隔不同語言，例如:
  * `"en"`: 僅翻譯英文版
  * `"en,zh-TW"`: 翻譯英文、繁體中文

action.yml

@@ -37,14 +37,14 @@ runs:
  shell: bash
  run: |
  pip install PyExecJS
+ pip install nest_asyncio
  pip install -U g4f
  pip install --upgrade tenacity
 
  - name: Translate README
  shell: bash
  working-directory: .
  run: |
- export PROVIDER=${{ inputs.g4f_provider }}
  export LANGS=${{ inputs.langs }}
  python $GITHUB_ACTION_PATH/translation.py
 

translation.py

@@ -4,21 +4,13 @@
 import subprocess
 
 import g4f
+from g4f.client import AsyncClient
 from tenacity import retry, stop_after_attempt
 
 g4f.debug.logging = True
 
 LAGNS = os.environ.get('LANGS').split(',')
 
-PROVIDER_MAPPING = {
- f'g4f.Provider.{provider}': getattr(g4f.Provider, provider)
- for provider in g4f.Provider.__all__
-}
-try:
- PROVIDER = PROVIDER_MAPPING[os.environ.get('PROVIDER')]
-except:
- PROVIDER = None
-
 
 def run_shell_command(command: str) -> tuple:
  result = subprocess.run(
@@ -33,14 +25,15 @@ def run_shell_command(command: str) -> tuple:
 
 @retry(stop=stop_after_attempt(15))
 async def chat_completion(query: str) -> str:
- response = await g4f.ChatCompletion.create_async(
- model=g4f.models.gpt_35_long,
+ client = AsyncClient()
+
+ response = await client.chat.completions.create(
+ model="gpt-3.5-turbo",
  messages=[{"role": "user", "content": query}],
- provider=PROVIDER
  )
  if response == '' or response is None:
  raise Exception
- return response
+ return response.choices[0].message.content
 
 
 async def translate_content(content: str, output_lang: str) -> str: