Update hf_client.py
Browse files- hf_client.py +21 -10
hf_client.py
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import os
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from huggingface_hub import InferenceClient
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from tavily import TavilyClient
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# HF Inference Client
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HF_TOKEN = os.getenv('HF_TOKEN')
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if not HF_TOKEN:
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raise RuntimeError("HF_TOKEN environment variable is not set. Please set it to your Hugging Face API token.")
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def get_inference_client(model_id, provider="auto"):
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"""
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if model_id == "moonshotai/Kimi-K2-Instruct":
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provider = "groq"
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#
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#
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#
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return InferenceClient(
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provider=provider,
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api_key=
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# The `bill_to` parameter has been removed.
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)
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# Tavily Search Client
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# hf_client.py (REVISED)
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import os
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from typing import Optional
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from huggingface_hub import InferenceClient
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from tavily import TavilyClient
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# HF Inference Client
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# This is your token, used as a fallback for local testing or when a user token isn't available.
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HF_TOKEN = os.getenv('HF_TOKEN')
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def get_inference_client(model_id: str, provider: str = "auto", user_token: Optional[str] = None):
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"""
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Return an InferenceClient.
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Prioritizes the user's token for billing if provided.
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Falls back to the environment HF_TOKEN otherwise.
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"""
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# Determine which token to use for the API call
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token_to_use = user_token or HF_TOKEN
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if not token_to_use:
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raise ValueError("An API token must be provided either by the user or as an environment variable (HF_TOKEN).")
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if model_id == "moonshotai/Kimi-K2-Instruct":
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provider = "groq"
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# Initialize the client with the selected token.
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# The Hugging Face Hub automatically bills the account associated with the token.
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# We do NOT use the 'bill_to' parameter for this.
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return InferenceClient(
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provider=provider,
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api_key=token_to_use
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)
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# Tavily Search Client
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