I am trying to create a Information retreival BOT by calling API. getting below error: ---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
File ~\AppData\Local\anaconda3\Lib\site-packages\huggingface_hub\utils_errors.py:259, in hf_raise_for_status(response, endpoint_name)
258 try:
→ 259 response.raise_for_status()
260 except HTTPError as e:
File ~\AppData\Local\anaconda3\Lib\site-packages\requests\models.py:1021, in Response.raise_for_status(self)
1020 if http_error_msg:
→ 1021 raise HTTPError(http_error_msg, response=self)
HTTPError: 400 Client Error: Bad Request for url: https://api-inference.huggingface.co/models/sentence-transformers/all-mpnet-base-v2
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
Cell In[1], line 36
34 # create the vectorestore to use as the index
35 embeddings = HuggingFaceHubEmbeddings()
—> 36 vectordb_falcon = Chroma.from_documents(documents=texts,embedding=embeddings)
38 # Setup Langchain
39 repo_id = “mistralai/Mixtral-8x7B-Instruct-v0.1”
File ~\AppData\Local\anaconda3\Lib\site-packages\langchain\vectorstores\chroma.py:771, in Chroma.from_documents(cls, documents, embedding, ids, collection_name, persist_directory, client_settings, client, collection_metadata, **kwargs)
769 texts = [doc.page_content for doc in documents]
770 metadatas = [doc.metadata for doc in documents]
→ 771 return cls.from_texts(
772 texts=texts,
773 embedding=embedding,
774 metadatas=metadatas,
775 ids=ids,
776 collection_name=collection_name,
777 persist_directory=persist_directory,
778 client_settings=client_settings,
779 client=client,
780 collection_metadata=collection_metadata,
781 **kwargs,
782 )
File ~\AppData\Local\anaconda3\Lib\site-packages\langchain\vectorstores\chroma.py:729, in Chroma.from_texts(cls, texts, embedding, metadatas, ids, collection_name, persist_directory, client_settings, client, collection_metadata, **kwargs)
721 from chromadb.utils.batch_utils import create_batches
723 for batch in create_batches(
724 api=chroma_collection._client,
725 ids=ids,
726 metadatas=metadatas,
727 documents=texts,
728 ):
→ 729 chroma_collection.add_texts(
730 texts=batch[3] if batch[3] else ,
731 metadatas=batch[2] if batch[2] else None,
732 ids=batch[0],
733 )
734 else:
735 chroma_collection.add_texts(texts=texts, metadatas=metadatas, ids=ids)
File ~\AppData\Local\anaconda3\Lib\site-packages\langchain\vectorstores\chroma.py:275, in Chroma.add_texts(self, texts, metadatas, ids, **kwargs)
273 texts = list(texts)
274 if self._embedding_function is not None:
→ 275 embeddings = self._embedding_function.embed_documents(texts)
276 if metadatas:
277 # fill metadatas with empty dicts if somebody
278 # did not specify metadata for all texts
279 length_diff = len(texts) - len(metadatas)
File ~\AppData\Local\anaconda3\Lib\site-packages\langchain\embeddings\huggingface_hub.py:95, in HuggingFaceHubEmbeddings.embed_documents(self, texts)
93 texts = [text.replace(“\n”, " ") for text in texts]
94 _model_kwargs = self.model_kwargs or {}
—> 95 responses = self.client.post(
96 json={“inputs”: texts, “parameters”: _model_kwargs, “task”: self.task}
97 )
98 return json.loads(responses.decode())
File ~\AppData\Local\anaconda3\Lib\site-packages\huggingface_hub_inference.py:167, in InferenceClient.post(self, json, data, model, task)
164 raise InferenceTimeoutError(f"Inference call timed out: {url}") from error
166 try:
→ 167 hf_raise_for_status(response)
168 except HTTPError as error:
169 if error.response.status_code == 503:
170 # If Model is unavailable, either raise a TimeoutError…
File ~\AppData\Local\anaconda3\Lib\site-packages\huggingface_hub\utils_errors.py:297, in hf_raise_for_status(response, endpoint_name)
293 elif response.status_code == 400:
294 message = (
295 f"\n\nBad request for {endpoint_name} endpoint:" if endpoint_name is not None else “\n\nBad request:”
296 )
→ 297 raise BadRequestError(message, response=response) from e
299 # Convert HTTPError into a HfHubHTTPError to display request information
300 # as well (request id and/or server error message)
301 raise HfHubHTTPError(str(e), response=response) from e
File ~\AppData\Local\anaconda3\Lib\site-packages\huggingface_hub\utils_errors.py:62, in HfHubHTTPError.init(self, message, response)
60 _server_message += server_message_from_headers + “\n”
61 if server_message_from_body is not None: # from body “error”
—> 62 if server_message_from_body not in _server_message:
63 _server_message += server_message_from_body + “\n”
64 if server_multiple_messages_from_body is not None: # from body “errors”
TypeError: ‘in ’ requires string as left operand, not list
Can anyone help to resolve this issue?