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Update readme and examples
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@ -7,8 +7,10 @@ from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, LLMPredictor
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from langchain.llms.openai import OpenAI
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from llama_index import StorageContext, load_index_from_storage
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base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
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# This example uses text-davinci-003 by default; feel free to change if desired
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llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo",openai_api_base="http://localhost:8080/v1"))
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llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
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# Configure prompt parameters and initialise helper
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max_input_size = 256
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