Fix linters, update notebook

docs/extras/integrations/tools/eleven_labs_tts.ipynb

@@ -108,7 +108,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "tts.stream(text_to_speak)"
+    "tts.stream_speech(text_to_speak)"
    ]
   },
   {

libs/langchain/langchain/agents/load_tools.py

@@ -286,8 +286,8 @@ def _get_dataforseo_api_search_json(**kwargs: Any) -> BaseTool:
     return DataForSeoAPISearchResults(api_wrapper=DataForSeoAPIWrapper(**kwargs))
 
 
-def _get_eleven_labs_text2speech() -> BaseTool:
-    return ElevenLabsText2SpeechTool()
+def _get_eleven_labs_text2speech(**kwargs: Any) -> BaseTool:
+    return ElevenLabsText2SpeechTool(**kwargs)
 
 
 _EXTRA_LLM_TOOLS: Dict[

libs/langchain/langchain/tools/eleven_labs/__init__.py

@@ -2,4 +2,4 @@
 
 from langchain.tools.eleven_labs.text2speech import ElevenLabsText2SpeechTool
 
-__all__ = [ElevenLabsText2SpeechTool]
+__all__ = ["ElevenLabsText2SpeechTool"]

libs/langchain/langchain/tools/eleven_labs/text2speech.py

@@ -1,6 +1,7 @@
 import tempfile
-from typing import Dict, Union
+from typing import Dict, Optional, Union
 
+from langchain.callbacks.manager import CallbackManagerForToolRun
 from langchain.pydantic_v1 import root_validator
 from langchain.tools.base import BaseTool
 from langchain.tools.eleven_labs.models import ElevenLabsModel
@@ -45,7 +46,9 @@ class ElevenLabsText2SpeechTool(BaseTool):
             f.write(speech)
         return f.name
 
-    def _run(self, query: str) -> str:
+    def _run(
+        self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
+    ) -> str:
         """Use the tool."""
         try:
             speech_file = self._text2speech(query)
@@ -60,7 +63,7 @@ class ElevenLabsText2SpeechTool(BaseTool):
 
         elevenlabs.play(speech)
 
-    def stream(self, query: str) -> None:
+    def stream_speech(self, query: str) -> None:
         """Stream the text as speech as it is generated.
         Play the text in your speakers."""
         speech_stream = elevenlabs.generate(text=query, model=self.model, stream=True)