langchain[patch]: Adds progress bar to GooglePalmEmbeddings (langchai…

…n-ai#13812)

- **Description:** Adds a tqdm progress bar to GooglePalmEmbeddings when
embedding a list.
  - **Issue:** langchain-ai#13637
  - **Dependencies:** TQDM as a main dependency (instead of extra)


Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>

---------

Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

libs/langchain/langchain/embeddings/google_palm.py

@@ -60,6 +60,8 @@ class GooglePalmEmbeddings(BaseModel, Embeddings):
     google_api_key: Optional[str]
     model_name: str = "models/embedding-gecko-001"
     """Model name to use."""
+    show_progress_bar: bool = False
+    """Whether to show a tqdm progress bar. Must have `tqdm` installed."""
 
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
@@ -79,7 +81,20 @@ def validate_environment(cls, values: Dict) -> Dict:
         return values
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
-        return [self.embed_query(text) for text in texts]
+        if self.show_progress_bar:
+            try:
+                from tqdm import tqdm
+
+                iter_ = tqdm(texts, desc="GooglePalmEmbeddings")
+            except ImportError:
+                logger.warning(
+                    "Unable to show progress bar because tqdm could not be imported. "
+                    "Please install with `pip install tqdm`."
+                )
+                iter_ = texts
+        else:
+            iter_ = texts
+        return [self.embed_query(text) for text in iter_]
 
     def embed_query(self, text: str) -> List[float]:
         """Embed query text."""