feat: Add bing tools and example

bingchat.py

@@ -0,0 +1,20 @@
+from swarms.models.bing_chat import EdgeGPTModel
+from swarms.workers.worker import Worker
+from swarms.tools.tool.bing_chat import EdgeGPTTool 
+
+# Initialize the EdgeGPTModel
+edgegpt = EdgeGPTModel(cookies_path="./path/to/cookies.json")
+
+# Initialize the custom tool
+edgegpt_tool = EdgeGPTTool(edgegpt)
+
+# Initialize the Worker with the custom tool
+worker = Worker(
+    ai_name="EdgeGPT Worker",
+    external_tools=[edgegpt_tool],
+)
+
+# Use the worker to process a task
+task = "Hello, my name is ChatGPT"
+response = worker.run(task)
+print(response)

requirements.txt

@@ -6,6 +6,7 @@ langchain
 nest_asyncio
 pegasusx
 google-generativeai 
+EdgeGPT
 langchain-experimental
 playwright
 wget==3.2

swarms/models/bing_chat.py

@@ -26,7 +26,7 @@ class EdgeGPTModel:
         self.cookies = json.loads(open(cookies_path, encoding="utf-8").read())
         self.bot = asyncio.run(Chatbot.create(cookies=self.cookies))
         
-    def __call(self, prompt: str, style: ConversationStyle = ConversationStyle.creative) -> str:
+    def __call__(self, prompt: str, style: ConversationStyle = ConversationStyle.creative) -> str:
         """
         Get a text response using the EdgeGPT model based on the provided prompt.
         """

swarms/tools/tool.py

@@ -576,7 +576,13 @@ class Tool(BaseTool):
             args_schema=args_schema,
             **kwargs,
         )
+        
+class EdgeGPTTool:
+    def __init__(self, model):
+        self.model = model
 
+    def run(self, prompt):
+        return self.model.ask(prompt)
 
 class StructuredTool(BaseTool):
     """Tool that can operate on any number of inputs."""