Credentials are Ok but when arriving to step six it crashes

In this line: querygenerated=userinput(user_query)
The credentials are ok and the step 3,4,5 are Ok
Can you give me some advice to execute this repo correctly?

Searching metadata from vector store
Searching metadata from vector store
2024-07-24 12:39:44,066,3721124127,MainProcess,INFO,Searching metadata from vector store
---------------------------------------------------------------------------
NoCredentialsError Traceback (most recent call last)
File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\langchain_community\embeddings\bedrock.py:135, in BedrockEmbeddings._embedding_func(self, text)
[133](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:133) try:
[134](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:134) # invoke bedrock API
--> [135](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:135) response = self.client.invoke_model(
[136](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:136) body=body,
[137](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:137) modelId=self.model_id,
[138](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:138) accept="application/json",
[139](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:139) contentType="application/json",
[140](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:140) )
[142](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:142) # format output based on provider

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\client.py:565, in ClientCreator._create_api_method.._api_call(self, *args, **kwargs)
[564](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:564) # The "self" in this scope is referring to the BaseClient.
--> [565](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:565) return self._make_api_call(operation_name, kwargs)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\client.py:999, in BaseClient._make_api_call(self, operation_name, api_params)
[998](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:998) apply_request_checksum(request_dict)
--> [999](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:999) http, parsed_response = self._make_request(
[1000](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1000) operation_model, request_dict, request_context
[1001](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1001) )
[1003](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1003) self.meta.events.emit(
[1004](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1004) f'after-call.{service_id}.{operation_name}',
[1005](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1005) http_response=http,
(...)
[1008](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1008) context=request_context,
[1009](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1009) )

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\client.py:1023, in BaseClient._make_request(self, operation_model, request_dict, request_context)
[1022](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1022) try:
-> [1023](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1023) return self._endpoint.make_request(operation_model, request_dict)
[1024](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/client.py:1024) except Exception as e:

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\endpoint.py:119, in Endpoint.make_request(self, operation_model, request_dict)
[114](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:114) logger.debug(
[115](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:115) "Making request for %s with params: %s",
[116](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:116) operation_model,
[117](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:117) request_dict,
[118](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:118) )
--> [119](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:119) return self._send_request(request_dict, operation_model)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\endpoint.py:196, in Endpoint._send_request(self, request_dict, operation_model)
[195](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:195) self._update_retries_context(context, attempts)
--> [196](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:196) request = self.create_request(request_dict, operation_model)
[197](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:197) success_response, exception = self._get_response(
[198](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:198) request, operation_model, context
[199](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:199) )

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\endpoint.py:132, in Endpoint.create_request(self, params, operation_model)
[131](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:131) event_name = f'request-created.{service_id}.{operation_model.name}'
--> [132](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:132) self._event_emitter.emit(
[133](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:133) event_name,
[134](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:134) request=request,
[135](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:135) operation_name=operation_model.name,
[136](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:136) )
[137](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/endpoint.py:137) prepared_request = self.prepare_request(request)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\hooks.py:412, in EventAliaser.emit(self, event_name, **kwargs)
[411](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:411) aliased_event_name = self._alias_event_name(event_name)
--> [412](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:412) return self._emitter.emit(aliased_event_name, **kwargs)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\hooks.py:256, in HierarchicalEmitter.emit(self, event_name, **kwargs)
[246](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:246) """
[247](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:247) Emit an event by name with arguments passed as keyword args.
[248](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:248)
(...)
[254](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:254) handlers.
[255](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:255) """
--> [256](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:256) return self._emit(event_name, kwargs)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\hooks.py:239, in HierarchicalEmitter._emit(self, event_name, kwargs, stop_on_response)
[238](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:238) logger.debug('Event %s: calling handler %s', event_name, handler)
--> [239](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:239) response = handler(**kwargs)
[240](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/hooks.py:240) responses.append((handler, response))

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\signers.py:105, in RequestSigner.handler(self, operation_name, request, **kwargs)
[100](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:100) def handler(self, operation_name=None, request=None, **kwargs):
[101](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:101) # This is typically hooked up to the "request-created" event
[102](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:102) # from a client's event emitter. When a new request is created
[103](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:103) # this method is invoked to sign the request.
[104](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:104) # Don't call this method directly.
--> [105](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:105) return self.sign(operation_name, request)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\signers.py:197, in RequestSigner.sign(self, operation_name, request, region_name, signing_type, expires_in, signing_name)
[195](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:195) raise e
--> [197](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/signers.py:197) auth.add_auth(request)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\botocore\auth.py:418, in SigV4Auth.add_auth(self, request)
[417](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/auth.py:417) if self.credentials is None:
--> [418](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/auth.py:418) raise NoCredentialsError()
[419](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/botocore/auth.py:419) datetime_now = datetime.datetime.utcnow()

NoCredentialsError: Unable to locate credentials

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
Cell In[83], [line 1](vscode-notebook-cell:?execution_count=83&line=1)
----> [1](vscode-notebook-cell:?execution_count=83&line=1) querygenerated=userinput(user_query)

Cell In[78], [line 4](vscode-notebook-cell:?execution_count=78&line=4)
[2](vscode-notebook-cell:?execution_count=78&line=2) logger.info(f'Searching metadata from vector store')
[3](vscode-notebook-cell:?execution_count=78&line=3) # vector_search_match=rqst.getEmbeddding(user_query)
----> [4](vscode-notebook-cell:?execution_count=78&line=4) vector_search_match=rqst.getOpenSearchEmbedding(index_name,user_query)
[5](vscode-notebook-cell:?execution_count=78&line=5) print(vector_search_match)
[6](vscode-notebook-cell:?execution_count=78&line=6) details="It is important that the SQL query complies with Athena syntax. During join if column name are same please use alias ex llm.customer_id in select statement. It is also important to respect the type of columns: if a column is string, the value should be enclosed in quotes. If you are writing CTEs then include all the required columns. While concatenating a non string column, make sure cast the column to string. For date columns comparing to string , please cast the string input."

Cell In[75], [line 9](vscode-notebook-cell:?execution_count=75&line=9)
[7](vscode-notebook-cell:?execution_count=75&line=7) def getOpenSearchEmbedding(self,index_name,user_query):
[8](vscode-notebook-cell:?execution_count=75&line=8) vcindxdoc=ebropen.getDocumentfromIndex(index_name=index_name)
----> [9](vscode-notebook-cell:?execution_count=75&line=9) documnet=ebropen.getSimilaritySearch(user_query,vcindxdoc)
[10](vscode-notebook-cell:?execution_count=75&line=10) return ebropen.format_metadata(documnet)

File c:\Users\a922017\OneDrive - Eviden\Escritorio\text-sql_investigation\text-to-sql-for-athena\openSearchVCEmbedding.py:90, in EmbeddingBedrockOpenSearch.getSimilaritySearch(self, user_query, vcindex)
[88](file:///C:/Users/a922017/OneDrive%20-%20Eviden/Escritorio/text-sql_investigation/text-to-sql-for-athena/openSearchVCEmbedding.py:88) def getSimilaritySearch(self,user_query: str,vcindex):
[89](file:///C:/Users/a922017/OneDrive%20-%20Eviden/Escritorio/text-sql_investigation/text-to-sql-for-athena/openSearchVCEmbedding.py:89) # user_query='show me the top 10 titile by maximum votes'
---> [90](file:///C:/Users/a922017/OneDrive%20-%20Eviden/Escritorio/text-sql_investigation/text-to-sql-for-athena/openSearchVCEmbedding.py:90) docs = vcindex.similarity_search(user_query,k=200)
[91](file:///C:/Users/a922017/OneDrive%20-%20Eviden/Escritorio/text-sql_investigation/text-to-sql-for-athena/openSearchVCEmbedding.py:91) # print(docs[0].page_content)
[92](file:///C:/Users/a922017/OneDrive%20-%20Eviden/Escritorio/text-sql_investigation/text-to-sql-for-athena/openSearchVCEmbedding.py:92) return docs

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\langchain_community\vectorstores\opensearch_vector_search.py:801, in OpenSearchVectorSearch.similarity_search(self, query, k, score_threshold, **kwargs)
[736](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:736) def similarity_search(
[737](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:737) self,
[738](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:738) query: str,
(...)
[741](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:741) **kwargs: Any,
[742](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:742) ) -> List[Document]:
[743](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:743) """Return docs most similar to query.
[744](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:744)
[745](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:745) By default, supports Approximate Search.
(...)
[799](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:799) nearest neighbors; default: {"match_all": {}}
[800](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:800) """
--> [801](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:801) docs_with_scores = self.similarity_search_with_score(
[802](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:802) query, k, score_threshold, **kwargs
[803](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:803) )
[804](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:804) return [doc[0] for doc in docs_with_scores]

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\langchain_community\vectorstores\opensearch_vector_search.py:843, in OpenSearchVectorSearch.similarity_search_with_score(self, query, k, score_threshold, **kwargs)
[819](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:819) def similarity_search_with_score(
[820](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:820) self,
[821](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:821) query: str,
(...)
[824](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:824) **kwargs: Any,
[825](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:825) ) -> List[Tuple[Document, float]]:
[826](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:826) """Return docs and it's scores most similar to query.
[827](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:827)
[828](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:828) By default, supports Approximate Search.
(...)
[841](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:841) same as `similarity_search`
[842](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:842) """
--> [843](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:843) embedding = self.embedding_function.embed_query(query)
[844](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:844) return self.similarity_search_with_score_by_vector(
[845](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:845) embedding, k, score_threshold, **kwargs
[846](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:846) )

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\langchain_community\embeddings\bedrock.py:187, in BedrockEmbeddings.embed_query(self, text)
[178](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:178) def embed_query(self, text: str) -> List[float]:
[179](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:179) """Compute query embeddings using a Bedrock model.
[180](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:180)
[181](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:181) Args:
(...)
[185](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:185) Embeddings for the text.
[186](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:186) """
--> [187](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:187) embedding = self._embedding_func(text)
[189](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:189) if self.normalize:
[190](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:190) return self._normalize_vector(embedding)

File c:\Users\a922017\AppData\Local\miniconda3\envs\chatbot\lib\site-packages\langchain_community\embeddings\bedrock.py:150, in BedrockEmbeddings._embedding_func(self, text)
[148](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:148) return response_body.get("embedding")
[149](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:149) except Exception as e:
--> [150](file:///C:/Users/a922017/AppData/Local/miniconda3/envs/chatbot/lib/site-packages/langchain_community/embeddings/bedrock.py:150) raise ValueError(f"Error raised by inference endpoint: {e}")

ValueError: Error raised by inference endpoint: Unable to locate credentials