diff --git a/README.md b/README.md
index 9e972ce7..835debd0 100644
--- a/README.md
+++ b/README.md
@@ -141,6 +141,11 @@ response = g4f.ChatCompletion.create(..., provider=ProviderName)
### interference openai-proxy api (use with openai python package)
+get requirements:
+```sh
+pip install -r interference/requirements.txt
+```
+
run server:
```sh
python3 -m interference.app
@@ -284,6 +289,13 @@ if __name__ == "__main__":
|
|
+
+ ChatGpt Telegram Bot |
+ |
+ |
+ |
+ |
+
@@ -372,4 +384,4 @@ along with this program. If not, see .
-
+
\ No newline at end of file
diff --git a/g4f/Provider/Equing.py b/g4f/Provider/Equing.py
new file mode 100644
index 00000000..bcf6cff9
--- /dev/null
+++ b/g4f/Provider/Equing.py
@@ -0,0 +1,74 @@
+import requests, json
+from abc import ABC, abstractmethod
+
+from ..typing import Any, CreateResult
+
+
+class Equing(ABC):
+ url: str = 'https://next.eqing.tech/'
+ working = True
+ needs_auth = False
+ supports_stream = True
+ supports_gpt_35_turbo = True
+ supports_gpt_4 = False
+
+ @staticmethod
+ @abstractmethod
+ def create_completion(
+ model: str,
+ messages: list[dict[str, str]],
+ stream: bool,
+ **kwargs: Any) -> CreateResult:
+
+ headers = {
+ 'authority': 'next.eqing.tech',
+ 'accept': 'text/event-stream',
+ 'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
+ 'cache-control': 'no-cache',
+ 'content-type': 'application/json',
+ 'origin': 'https://next.eqing.tech',
+ 'plugins': '0',
+ 'pragma': 'no-cache',
+ 'referer': 'https://next.eqing.tech/',
+ 'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
+ 'sec-ch-ua-mobile': '?0',
+ 'sec-ch-ua-platform': '"macOS"',
+ 'sec-fetch-dest': 'empty',
+ 'sec-fetch-mode': 'cors',
+ 'sec-fetch-site': 'same-origin',
+ 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
+ 'usesearch': 'false',
+ 'x-requested-with': 'XMLHttpRequest',
+ }
+
+ json_data = {
+ 'messages': messages,
+ 'stream': stream,
+ 'model': model,
+ 'temperature': kwargs.get('temperature', 0.5),
+ 'presence_penalty': kwargs.get('presence_penalty', 0),
+ 'frequency_penalty': kwargs.get('frequency_penalty', 0),
+ 'top_p': kwargs.get('top_p', 1),
+ }
+
+ response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
+ headers=headers, json=json_data, stream=stream)
+
+ for line in response.iter_content(chunk_size=1024):
+ if line:
+ if b'content' in line:
+ line_json = json.loads(line.decode('utf-8').split('data: ')[1])
+ token = line_json['choices'][0]['delta'].get('content')
+ if token:
+ yield token
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/FastGpt.py b/g4f/Provider/FastGpt.py
new file mode 100644
index 00000000..950abab1
--- /dev/null
+++ b/g4f/Provider/FastGpt.py
@@ -0,0 +1,83 @@
+import requests, json, random
+from abc import ABC, abstractmethod
+
+from ..typing import Any, CreateResult
+
+
+class FastGpt(ABC):
+ url: str = 'https://chat9.fastgpt.me/'
+ working = True
+ needs_auth = False
+ supports_stream = True
+ supports_gpt_35_turbo = True
+ supports_gpt_4 = False
+
+ @staticmethod
+ @abstractmethod
+ def create_completion(
+ model: str,
+ messages: list[dict[str, str]],
+ stream: bool,
+ **kwargs: Any) -> CreateResult:
+
+ headers = {
+ 'authority': 'chat9.fastgpt.me',
+ 'accept': 'text/event-stream',
+ 'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
+ 'cache-control': 'no-cache',
+ 'content-type': 'application/json',
+ # 'cookie': 'cf_clearance=idIAwtoSCn0uCzcWLGuD.KtiAJv9a1GsPduEOqIkyHU-1692278595-0-1-cb11fd7a.ab1546d4.ccf35fd7-0.2.1692278595; Hm_lvt_563fb31e93813a8a7094966df6671d3f=1691966491,1692278597; Hm_lpvt_563fb31e93813a8a7094966df6671d3f=1692278597',
+ 'origin': 'https://chat9.fastgpt.me',
+ 'plugins': '0',
+ 'pragma': 'no-cache',
+ 'referer': 'https://chat9.fastgpt.me/',
+ 'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
+ 'sec-ch-ua-mobile': '?0',
+ 'sec-ch-ua-platform': '"macOS"',
+ 'sec-fetch-dest': 'empty',
+ 'sec-fetch-mode': 'cors',
+ 'sec-fetch-site': 'same-origin',
+ 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
+ 'usesearch': 'false',
+ 'x-requested-with': 'XMLHttpRequest',
+ }
+
+ json_data = {
+ 'messages': messages,
+ 'stream': stream,
+ 'model': model,
+ 'temperature': kwargs.get('temperature', 0.5),
+ 'presence_penalty': kwargs.get('presence_penalty', 0),
+ 'frequency_penalty': kwargs.get('frequency_penalty', 0),
+ 'top_p': kwargs.get('top_p', 1),
+ }
+
+ subdomain = random.choice([
+ 'jdaen979ew',
+ 'chat9'
+ ])
+
+ response = requests.post(f'https://{subdomain}.fastgpt.me/api/openai/v1/chat/completions',
+ headers=headers, json=json_data, stream=stream)
+
+ for line in response.iter_lines():
+ if line:
+ try:
+ if b'content' in line:
+ line_json = json.loads(line.decode('utf-8').split('data: ')[1])
+ token = line_json['choices'][0]['delta'].get('content')
+ if token:
+ yield token
+ except:
+ continue
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index c8684d86..e27dee5d 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -23,6 +23,8 @@ from .Vercel import Vercel
from .Wewordle import Wewordle
from .You import You
from .Yqcloud import Yqcloud
+from .Equing import Equing
+from .FastGpt import FastGpt
from .V50 import V50
__all__ = [
@@ -51,5 +53,7 @@ __all__ = [
"Wewordle",
"You",
"Yqcloud",
- "V50",
+ "Equing",
+ "FastGpt",
+ "V50"
]
diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py
index 92636fda..98ad3514 100644
--- a/g4f/Provider/base_provider.py
+++ b/g4f/Provider/base_provider.py
@@ -30,4 +30,4 @@ class BaseProvider(ABC):
("stream", "bool"),
]
param = ", ".join([": ".join(p) for p in params])
- return f"g4f.provider.{cls.__name__} supports: ({param})"
+ return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/models.py b/g4f/models.py
index c675c280..64951792 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -1,6 +1,6 @@
from dataclasses import dataclass
-from .Provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel
+from .Provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel, Equing
@dataclass
@@ -131,7 +131,7 @@ gpt_35_turbo_16k = Model(
gpt_35_turbo_16k_0613 = Model(
name="openai:gpt-3.5-turbo-16k-0613",
base_provider="openai",
- best_provider=Vercel,
+ best_provider=Equing,
)
gpt_4_0613 = Model(
diff --git a/interference/app.py b/interference/app.py
index 30a9b129..8018356f 100644
--- a/interference/app.py
+++ b/interference/app.py
@@ -12,7 +12,6 @@ from g4f import ChatCompletion
app = Flask(__name__)
CORS(app)
-
@app.route("/chat/completions", methods=["POST"])
def chat_completions():
model = request.get_json().get("model", "gpt-3.5-turbo")
diff --git a/interference/requirements.txt b/interference/requirements.txt
new file mode 100644
index 00000000..d376491c
--- /dev/null
+++ b/interference/requirements.txt
@@ -0,0 +1,2 @@
+flask_cors
+watchdog~=3.0.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 0e43655a..2c1d3ff9 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@ with codecs.open(os.path.join(here, "README.md"), encoding="utf-8") as fh:
with open("requirements.txt") as f:
required = f.read().splitlines()
-VERSION = '0.0.2.0'
+VERSION = '0.0.2.1'
DESCRIPTION = (
"The official gpt4free repository | various collection of powerful language models"
)