A contribution to the creation of a domestically executed, free PDF chat app with Streamlit and Meta AI’s LLaMA mannequin, with out API limitations
19 hours in the past
I’ve already learn numerous articles on the web about how the open supply framework Streamlit can be utilized together with machine studying to shortly and simply create attention-grabbing interactive net purposes. That is very helpful for creating experimental purposes with out in depth front-end improvement. One article confirmed the best way to create a dialog chain utilizing an OpenAI language mannequin after which execute it. An occasion of the chat mannequin “gpt-3.5-turbo” was created, the parameter “temperature” was outlined with a worth of 0 in order that the mannequin responds deterministically and at last a placeholder for the API key was carried out. The latter is required to authenticate the mannequin when it’s used.
llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0, api_key="")
Within the feedback, I usually learn the query of the best way to take care of a specific error message or how it may be solved.
RateLimitError: Error code: 429 — {‘error’: {‘message’: ‘You exceeded your present quota, please verify your plan…