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XFEstudio/gpt4free

Update (docs/ README.md g4f/client/client.py)

21a26f68

kqlio67 <kqlio67@users.noreply.github.com>

提交于 2024-11-12 08:44

父提交 2a29f1b

代码差异

7 个文件 +34 -19

Modified README.md +1 -1

@@ -174,7 +174,7 @@ from g4f.client import Client

174 174

175 175 client = Client()

176 176 response = client.chat.completions.create(

177 model="gpt-3.5-turbo",

177 model="gpt-4o-mini",

178 178 messages=[{"role": "user", "content": "Hello"}],

179 179 # Add any other necessary parameters

180 180 )

Modified docs/async_client.md +5 -4

@@ -57,7 +57,7 @@ client = Client(

57 57 **Here’s an improved example of creating chat completions:**

58 58 ```python

59 59 response = await async_client.chat.completions.create(

60 model="gpt-3.5-turbo",

60 model="gpt-4o-mini",

61 61 messages=[

62 62 {

63 63 "role": "user",

@@ -99,7 +99,7 @@ async def main():

99 99 client = Client()

100 100

101 101 response = await client.chat.completions.async_create(

102 model="gpt-3.5-turbo",

102 model="gpt-4o-mini",

103 103 messages=[

104 104 {

105 105 "role": "user",

@@ -230,7 +230,7 @@ async def main():

230 230 client = Client()

231 231

232 232 task1 = client.chat.completions.async_create(

233 model="gpt-3.5-turbo",

233 model="gpt-4o-mini",

234 234 messages=[

235 235 {

236 236 "role": "user",

@@ -262,6 +262,7 @@ The G4F AsyncClient supports a wide range of AI models and providers, allowing y

262 262

263 263 ### Models

264 264 - GPT-3.5-Turbo

265 - GPT-4o-Mini

265 266 - GPT-4

266 267 - DALL-E 3

267 268 - Gemini

@@ -306,7 +307,7 @@ Implementing proper error handling and following best practices is crucial when

306 307 ```python

307 308 try:

308 309 response = await client.chat.completions.async_create(

309 model="gpt-3.5-turbo",

310 model="gpt-4o-mini",

310 311 messages=[

311 312 {

312 313 "role": "user",

Modified docs/client.md +2 -2

@@ -62,7 +62,7 @@ client = Client(

62 62 **Here’s an improved example of creating chat completions:**

63 63 ```python

64 64 response = client.chat.completions.create(

65 model="gpt-3.5-turbo",

65 model="gpt-4o-mini",

66 66 messages=[

67 67 {

68 68 "role": "user",

@@ -104,7 +104,7 @@ from g4f.client import Client

104 104 client = Client()

105 105

106 106 response = client.chat.completions.create(

107 model="gpt-3.5-turbo",

107 model="gpt-4o-mini",

108 108 messages=[

109 109 {

110 110 "role": "user",

Modified docs/docker.md +1 -1

@@ -71,7 +71,7 @@ import requests

71 71

72 72 url = "http://localhost:1337/v1/chat/completions"

73 73 body = {

74 "model": "gpt-3.5-turbo",

74 "model": "gpt-4o-mini",

75 75 "stream": False,

76 76 "messages": [

77 77 {"role": "assistant", "content": "What can you do?"}

Modified docs/git.md +1 -1

@@ -95,7 +95,7 @@ from g4f.client import Client

95 95 client = Client()

96 96

97 97 response = client.chat.completions.create(

98 model="gpt-3.5-turbo",

98 model="gpt-4o-mini",

99 99 messages=[

100 100 {

101 101 "role": "user",

Modified docs/interference-api.md +3 -3

@@ -64,7 +64,7 @@ curl -X POST "http://localhost:1337/v1/chat/completions" \

64 64 "content": "Hello"

65 65 }

66 66 ],

67 "model": "gpt-3.5-turbo"

67 "model": "gpt-4o-mini"

68 68 }'

69 69 ```

70 70

@@ -104,7 +104,7 @@ client = OpenAI(

104 104 )

105 105

106 106 response = client.chat.completions.create(

107 model="gpt-3.5-turbo",

107 model="gpt-4o-mini",

108 108 messages=[{"role": "user", "content": "Write a poem about a tree"}],

109 109 stream=True,

110 110 )

@@ -131,7 +131,7 @@ import requests

131 131 url = "http://localhost:1337/v1/chat/completions"

132 132

133 133 body = {

134 "model": "gpt-3.5-turbo",

134 "model": "gpt-4o-mini",

135 135 "stream": False,

136 136 "messages": [

137 137 {"role": "assistant", "content": "What can you do?"}

Modified g4f/client/client.py +21 -7

@@ -154,14 +154,29 @@ class AsyncClient(Client):

154 154 stacklevel=2

155 155 )

156 156 super().__init__(*args, **kwargs)

157 self.chat = Chat(self)

158 self._images = Images(self)

159 self.completions = Completions(self)

157 160

158 async def chat_complete(self, *args, **kwargs):

159 """Legacy method that redirects to async_create"""

160 return await self.chat.completions.async_create(*args, **kwargs)

161 @property

162 def images(self) -> 'Images':

163 return self._images

164

165 async def async_create(self, *args, **kwargs) -> Union['ChatCompletion', AsyncIterator['ChatCompletionChunk']]:

166 response = await super().async_create(*args, **kwargs)

167 async for result in response:

168 return result

161 169

162 async def create_image(self, *args, **kwargs):

163 """Legacy method that redirects to async_generate"""

164 return await self.images.async_generate(*args, **kwargs)

170 async def async_generate(self, *args, **kwargs) -> 'ImagesResponse':

171 return await super().async_generate(*args, **kwargs)

172

173 async def _fetch_image(self, url: str) -> bytes:

174 async with ClientSession() as session:

175 async with session.get(url) as resp:

176 if resp.status == 200:

177 return await resp.read()

178 else:

179 raise Exception(f"Failed to fetch image from {url}, status code {resp.status}")

165 180

166 181 class Completions:

167 182 def __init__(self, client: Client, provider: ProviderType = None):

@@ -531,4 +546,3 @@ class Images:

531 546

    async def create_variation(self, image: Union[str, bytes], model: str = None, response_format: str = "url", **kwargs):

532 547 # Existing implementation, adjust if you want to support b64_json here as well

533 548 pass

534