Merge pull request #1213 from thatlukinhasguy1/main

Make the API use FastAPI instead of Flask

g4f/__init__.py

@@ -115,4 +115,4 @@ class Completion:
         return result if stream else ''.join(result)
     
 if version_check:
-    check_pypi_version()
+    check_pypi_version()

g4f/api/__init__.py

@@ -1,163 +1,137 @@
-import typing
+from fastapi            import FastAPI, Response, Request
-from .. import BaseProvider
+from typing             import List, Union, Any, Dict, AnyStr
-import g4f; g4f.debug.logging = True
+from ._tokenizer        import tokenize
+from ..                 import BaseProvider
+
 import time
 import json
 import random
 import string
-import logging
+import uvicorn
-
+import nest_asyncio
-from typing                        import Union
+import g4f
-from loguru                        import logger
-from waitress                      import serve
-from ._logging                     import hook_logging
-from ._tokenizer                   import tokenize
-from flask_cors                    import CORS
-from werkzeug.serving              import WSGIRequestHandler
-from werkzeug.exceptions           import default_exceptions
-from werkzeug.middleware.proxy_fix import ProxyFix
-
-from flask                         import (
-    Flask, 
-    jsonify, 
-    make_response, 
-    request,
-)
 
 class Api:
-    __default_ip   = '127.0.0.1'
-    __default_port = 1337
-    
     def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,
-                 list_ignored_providers:typing.List[typing.Union[str, BaseProvider]]=None) -> None:
+                 list_ignored_providers: List[Union[str, BaseProvider]] = None) -> None:
-        self.engine    = engine
+        self.engine = engine
-        self.debug     = debug
+        self.debug = debug
-        self.sentry    = sentry
+        self.sentry = sentry
-        self.list_ignored_providers     = list_ignored_providers
+        self.list_ignored_providers = list_ignored_providers
-        self.log_level = logging.DEBUG if debug else logging.WARN
-        
-        hook_logging(level=self.log_level, format='[%(asctime)s] %(levelname)s in %(module)s: %(message)s')
-        self.logger = logging.getLogger('waitress')
-    
-        self.app = Flask(__name__)
-        self.app.wsgi_app = ProxyFix(self.app.wsgi_app, x_port=1)
-        self.app.after_request(self.__after_request)
-        
-    def run(self, bind_str, threads=8):
-        host, port = self.__parse_bind(bind_str)
 
-        CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [
+        self.app = FastAPI()
-            'Content-Type',
+        nest_asyncio.apply()
-            'Authorization',
-            'X-Requested-With',
-            'Accept',
-            'Origin',
-            'Access-Control-Request-Method',
-            'Access-Control-Request-Headers',
-            'Content-Disposition'], 'max_age': 600}})
 
-        self.app.route('/v1/models',           methods=['GET'])(self.models)
+        JSONObject = Dict[AnyStr, Any]
-        self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)
+        JSONArray = List[Any]
+        JSONStructure = Union[JSONArray, JSONObject]
 
-        self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)
+        @self.app.get("/")
-        self.app.route('/v1/completions',      methods=['POST'])(self.completions)
+        async def read_root():
+            return Response(content=json.dumps({"info": "g4f API"}, indent=4), media_type="application/json")
 
-        for ex in default_exceptions:
+        @self.app.get("/v1")
-            self.app.register_error_handler(ex, self.__handle_error)
+        async def read_root_v1():
+            return Response(content=json.dumps({"info": "Go to /v1/chat/completions or /v1/models."}, indent=4), media_type="application/json")
 
-        if not self.debug:
+        @self.app.get("/v1/models")
-            self.logger.warning(f'Serving on http://{host}:{port}')
+        async def models():
+            model_list = [{
+                'id': model,
+                'object': 'model',
+                'created': 0,
+                'owned_by': 'g4f'} for model in g4f.Model.__all__()]
 
-        WSGIRequestHandler.protocol_version = 'HTTP/1.1'
+            return Response(content=json.dumps({
-        serve(self.app, host=host, port=port, ident=None, threads=threads)
+                'object': 'list',
-    
+                'data': model_list}, indent=4), media_type="application/json")
-    def __handle_error(self, e: Exception):
-        self.logger.error(e)
 
-        return make_response(jsonify({
+        @self.app.get("/v1/models/{model_name}")
-            'code': e.code,
+        async def model_info(model_name: str):
-            'message': str(e.original_exception if self.debug and hasattr(e, 'original_exception') else e.name)}), 500)
-    
-    @staticmethod
-    def __after_request(resp):
-        resp.headers['X-Server'] = f'g4f/{g4f.version}'
-
-        return resp
-    
-    def __parse_bind(self, bind_str):
-        sections = bind_str.split(':', 2)
-        if len(sections) < 2:
             try:
-                port = int(sections[0])
+                model_info = (g4f.ModelUtils.convert[model_name])
-                return self.__default_ip, port
-            except ValueError:
-                return sections[0], self.__default_port
 
-        return sections[0], int(sections[1])
+                return Response(content=json.dumps({
-    
+                    'id': model_name,
-    async def home(self):
+                    'object': 'model',
-        return 'Hello world | https://127.0.0.1:1337/v1'
+                    'created': 0,
-    
+                    'owned_by': model_info.base_provider
-    async def chat_completions(self):
+                }, indent=4), media_type="application/json")
-        model    = request.json.get('model', 'gpt-3.5-turbo')
+            except:
-        stream   = request.json.get('stream', False)
+                return Response(content=json.dumps({"error": "The model does not exist."}, indent=4), media_type="application/json")
-        messages = request.json.get('messages')
-        
-        logger.info(f'model: {model}, stream: {stream}, request: {messages[-1]["content"]}')
 
-        config = None
+        @self.app.post("/v1/chat/completions")
-        proxy = None
+        async def chat_completions(request: Request, item: JSONStructure = None):
-
+            item_data = {
-        try:
+                'model': 'gpt-3.5-turbo',
-            config = json.load(open("config.json","r",encoding="utf-8"))
+                'stream': False,
-            proxy = config["proxy"]
-
-        except Exception:
-            pass
-
-        if proxy != None:
-            response = self.engine.ChatCompletion.create(model=model,
-                                                        stream=stream, messages=messages,
-                                                        ignored=self.list_ignored_providers,
-                                                        proxy=proxy)
-        else:
-            response = self.engine.ChatCompletion.create(model=model,
-                                                        stream=stream, messages=messages,
-                                                        ignored=self.list_ignored_providers)
-
-        completion_id        = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
-        completion_timestamp = int(time.time())
-
-        if not stream:
-            prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
-            completion_tokens, _ = tokenize(response)
-            
-            return {
-                'id': f'chatcmpl-{completion_id}',
-                'object': 'chat.completion',
-                'created': completion_timestamp,
-                'model': model,
-                'choices': [
-                    {
-                        'index': 0,
-                        'message': {
-                            'role': 'assistant',
-                            'content': response,
-                        },
-                        'finish_reason': 'stop',
-                    }
-                ],
-                'usage': {
-                    'prompt_tokens': prompt_tokens,
-                    'completion_tokens': completion_tokens,
-                    'total_tokens': prompt_tokens + completion_tokens,
-                },
             }
 
-        def streaming():
+            item_data.update(item or {})
+            model = item_data.get('model')
+            stream = item_data.get('stream')
+            messages = item_data.get('messages')
+
             try:
-                for chunk in response:
+                response = g4f.ChatCompletion.create(model=model, stream=stream, messages=messages)
-                    completion_data = {
+            except:
+                return Response(content=json.dumps({"error": "An error occurred while generating the response."}, indent=4), media_type="application/json")
+
+            completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
+            completion_timestamp = int(time.time())
+
+            if not stream:
+                prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
+                completion_tokens, _ = tokenize(response)
+
+                json_data = {
+                    'id': f'chatcmpl-{completion_id}',
+                    'object': 'chat.completion',
+                    'created': completion_timestamp,
+                    'model': model,
+                    'choices': [
+                        {
+                            'index': 0,
+                            'message': {
+                                'role': 'assistant',
+                                'content': response,
+                            },
+                            'finish_reason': 'stop',
+                        }
+                    ],
+                    'usage': {
+                        'prompt_tokens': prompt_tokens,
+                        'completion_tokens': completion_tokens,
+                        'total_tokens': prompt_tokens + completion_tokens,
+                    },
+                }
+
+                return Response(content=json.dumps(json_data, indent=4), media_type="application/json")
+
+            def streaming():
+                try:
+                    for chunk in response:
+                        completion_data = {
+                            'id': f'chatcmpl-{completion_id}',
+                            'object': 'chat.completion.chunk',
+                            'created': completion_timestamp,
+                            'model': model,
+                            'choices': [
+                                {
+                                    'index': 0,
+                                    'delta': {
+                                        'content': chunk,
+                                    },
+                                    'finish_reason': None,
+                                }
+                            ],
+                        }
+
+                        content = json.dumps(completion_data, separators=(',', ':'))
+                        yield f'data: {content}\n\n'
+                        time.sleep(0.03)
+
+                    end_completion_data = {
                         'id': f'chatcmpl-{completion_id}',
                         'object': 'chat.completion.chunk',
                         'created': completion_timestamp,
@@ -165,63 +139,24 @@ class Api:
                         'choices': [
                             {
                                 'index': 0,
-                                'delta': {
+                                'delta': {},
-                                    'content': chunk,
+                                'finish_reason': 'stop',
-                                },
-                                'finish_reason': None,
                             }
                         ],
                     }
 
-                    content = json.dumps(completion_data, separators=(',', ':'))
+                    content = json.dumps(end_completion_data, separators=(',', ':'))
                     yield f'data: {content}\n\n'
-                    time.sleep(0.03)
 
-                end_completion_data = {
+                except GeneratorExit:
-                    'id': f'chatcmpl-{completion_id}',
+                    pass
-                    'object': 'chat.completion.chunk',
-                    'created': completion_timestamp,
-                    'model': model,
-                    'choices': [
-                        {
-                            'index': 0,
-                            'delta': {},
-                            'finish_reason': 'stop',
-                        }
-                    ],
-                }
-                
-                content = json.dumps(end_completion_data, separators=(',', ':'))
-                yield f'data: {content}\n\n'
-                
-                logger.success(f'model: {model}, stream: {stream}')
-            
-            except GeneratorExit:
-                pass
 
-        return self.app.response_class(streaming(), mimetype='text/event-stream')
+            return Response(content=json.dumps(streaming(), indent=4), media_type="application/json")
-    
+
-    async def completions(self):
+        @self.app.post("/v1/completions")
-        return 'not working yet', 500
+        async def completions():
-    
+            return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
-    async def model_info(self, model_name):
+
-        model_info = (g4f.ModelUtils.convert[model_name])
+    def run(self, ip):
-    
+        split_ip = ip.split(":")
-        return jsonify({
+        uvicorn.run(app=self.app, host=split_ip[0], port=int(split_ip[1]), use_colors=False)
-            'id'       : model_name,
-            'object'   : 'model',
-            'created'  : 0,
-            'owned_by' : model_info.base_provider
-        })
-    
-    async def models(self):
-        model_list = [{
-            'id'        : model,
-            'object'    : 'model',
-            'created'   : 0,
-            'owned_by'  : 'g4f'} for model in g4f.Model.__all__()]
-            
-        return jsonify({
-            'object': 'list',
-            'data': model_list})
-    

g4f/api/run.py

@@ -3,4 +3,4 @@ import g4f.api
 
 if __name__ == "__main__":
     print(f'Starting server... [g4f v-{g4f.version}]')
-    g4f.api.Api(g4f).run('127.0.0.1:1337', 8)
+    g4f.api.Api(engine = g4f, debug = True).run(ip = "127.0.0.1:1337")

g4f/cli.py

@@ -7,11 +7,9 @@ from g4f import Provider
 from g4f.api import Api
 from g4f.gui.run import gui_parser, run_gui_args
 
-
 def run_gui(args):
     print("Running GUI...")
 
-
 def main():
     IgnoredProviders = Enum("ignore_providers", {key: key for key in Provider.__all__})
     parser = argparse.ArgumentParser(description="Run gpt4free")
@@ -19,22 +17,19 @@ def main():
     api_parser=subparsers.add_parser("api")
     api_parser.add_argument("--bind", default="127.0.0.1:1337", help="The bind string.")
     api_parser.add_argument("--debug", type=bool, default=False, help="Enable verbose logging")
-    api_parser.add_argument("--num-threads", type=int, default=8, help="The number of threads.")
     api_parser.add_argument("--ignored-providers", nargs="+", choices=[provider.name for provider in IgnoredProviders],
                             default=[], help="List of providers to ignore when processing request.")
     subparsers.add_parser("gui", parents=[gui_parser()], add_help=False)
 
     args = parser.parse_args()
     if args.mode == "api":
-        controller=Api(g4f, debug=args.debug)
+        controller=Api(engine=g4f, debug=args.debug, list_ignored_providers=args.ignored_providers)
-        controller.list_ignored_providers=args.ignored_providers
+        controller.run(args.bind)
-        controller.run(args.bind, args.num_threads)
     elif args.mode == "gui":
         run_gui_args(args)
     else:
         parser.print_help()
         exit(1)
 
-
 if __name__ == "__main__":
     main()

requirements.txt

@@ -6,8 +6,6 @@ certifi
 browser_cookie3
 websockets
 js2py
-flask[async]
-flask-cors
 typing-extensions
 PyExecJS
 duckduckgo-search
@@ -20,3 +18,5 @@ pillow
 platformdirs
 numpy
 asgiref
+fastapi
+uvicorn