community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
2025-09-05 13:06:03 +00:00 · 2023-12-11 13:53:30 -08:00
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
--- a/libs/community/langchain_community/tools/google_cloud/texttospeech.py
+++ b/libs/community/langchain_community/tools/google_cloud/texttospeech.py
@@ -0,0 +1,91 @@
+from __future__ import annotations
+
+import tempfile
+from typing import TYPE_CHECKING, Any, Optional
+
+from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.tools import BaseTool
+
+from langchain_community.utilities.vertexai import get_client_info
+
+if TYPE_CHECKING:
+    from google.cloud import texttospeech
+
+
+def _import_google_cloud_texttospeech() -> Any:
+    try:
+        from google.cloud import texttospeech
+    except ImportError as e:
+        raise ImportError(
+            "Cannot import google.cloud.texttospeech, please install "
+            "`pip install google-cloud-texttospeech`."
+        ) from e
+    return texttospeech
+
+
+def _encoding_file_extension_map(encoding: texttospeech.AudioEncoding) -> Optional[str]:
+    texttospeech = _import_google_cloud_texttospeech()
+
+    ENCODING_FILE_EXTENSION_MAP = {
+        texttospeech.AudioEncoding.LINEAR16: ".wav",
+        texttospeech.AudioEncoding.MP3: ".mp3",
+        texttospeech.AudioEncoding.OGG_OPUS: ".ogg",
+        texttospeech.AudioEncoding.MULAW: ".wav",
+        texttospeech.AudioEncoding.ALAW: ".wav",
+    }
+    return ENCODING_FILE_EXTENSION_MAP.get(encoding)
+
+
+class GoogleCloudTextToSpeechTool(BaseTool):
+    """Tool that queries the Google Cloud Text to Speech API.
+
+    In order to set this up, follow instructions at:
+    https://cloud.google.com/text-to-speech/docs/before-you-begin
+    """
+
+    name: str = "google_cloud_texttospeech"
+    description: str = (
+        "A wrapper around Google Cloud Text-to-Speech. "
+        "Useful for when you need to synthesize audio from text. "
+        "It supports multiple languages, including English, German, Polish, "
+        "Spanish, Italian, French, Portuguese, and Hindi. "
+    )
+
+    _client: Any
+
+    def __init__(self, **kwargs: Any) -> None:
+        """Initializes private fields."""
+        texttospeech = _import_google_cloud_texttospeech()
+
+        super().__init__(**kwargs)
+
+        self._client = texttospeech.TextToSpeechClient(
+            client_info=get_client_info(module="text-to-speech")
+        )
+
+    def _run(
+        self,
+        input_text: str,
+        language_code: str = "en-US",
+        ssml_gender: Optional[texttospeech.SsmlVoiceGender] = None,
+        audio_encoding: Optional[texttospeech.AudioEncoding] = None,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the tool."""
+        texttospeech = _import_google_cloud_texttospeech()
+        ssml_gender = ssml_gender or texttospeech.SsmlVoiceGender.NEUTRAL
+        audio_encoding = audio_encoding or texttospeech.AudioEncoding.MP3
+
+        response = self._client.synthesize_speech(
+            input=texttospeech.SynthesisInput(text=input_text),
+            voice=texttospeech.VoiceSelectionParams(
+                language_code=language_code, ssml_gender=ssml_gender
+            ),
+            audio_config=texttospeech.AudioConfig(audio_encoding=audio_encoding),
+        )
+
+        suffix = _encoding_file_extension_map(audio_encoding)
+
+        with tempfile.NamedTemporaryFile(mode="bx", suffix=suffix, delete=False) as f:
+            f.write(response.audio_content)
+        return f.name