Reputation: 1
import os
from dotenv import load_dotenv
load_dotenv()
import os
os.environ['OPENAI_API_KEY']=os.getenv("OPENAI_API_KEY")
api_key = os.environ['OPENAI_API_KEY']
from llama_index.core import VectorStoreIndex,SimpleDirectoryReader
from llama_index.core import Settings
documents = SimpleDirectoryReader("data").load_data()
# index = VectorStoreIndex.from_documents(documents,show_progress=True)
# from llama_index import VectorStoreIndex
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
# Instantiate your Hugging Face model
hugging_face_model_name = "sentence-transformers/all-MiniLM-L6-v2"
hugging_face_embedding = HuggingFaceEmbeddings(model_name=hugging_face_model_name)
# Create the VectorStoreIndex using Hugging Face embeddings
index = VectorStoreIndex.from_documents(
documents=documents,
embed_model=hugging_face_embedding,
show_progress=True
)
query_engine = index.as_query_engine()
response = query_engine.query("What is the transformer")
i tried with new google account but still i got the same error. even i go through documentation but still got the same error. i have 5$ credit then also this error comes i used query engine and try to build the chat bot type thing that can answer queastion related to research paper "attention is all you need".
`Retrying llama_index.llms.openai.base.OpenAI._chat in 0.7754447074412383 seconds as it raised RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}
`
Upvotes: 0
Views: 266
Reputation: 5
yeah, I faced that issue too, contacted support, yet nothing, it appears that the $5 credit you have doesn't work.
As soon as I topped with another $5 everything started working and I received a new limit ceiling.
Upvotes: 0