WeLe Agentic AI: LangGraph multi-agent CRM assistant with voice
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"""Which repos can we actually DOWNLOAD from?
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`model_info` succeeds on a gated repo you have not been granted, so it is not a
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usable test. Fetching a real file is.
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"""
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import os
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from huggingface_hub import hf_hub_download
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CANDIDATES = [
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("ai4bharat/indic-conformer-600m-multilingual", "Indic ASR (22 languages)"),
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("ai4bharat/indic-parler-tts", "Indic TTS (21 languages)"),
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("openai/whisper-small", "English ASR + language ID"),
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("ai4bharat/indic-parler-tts-pretrained", "TTS base (fallback)"),
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("ai4bharat/indicconformer_stt_ta_hybrid_rnnt_large", "Tamil-only ASR (fallback)"),
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]
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token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")
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print(f"token present: {bool(token)}\n")
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print(f"{'repo':52} {'what it is':30} status")
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print("-" * 108)
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blocked = []
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for repo, what in CANDIDATES:
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try:
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hf_hub_download(repo_id=repo, filename="config.json", token=token)
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print(f"{repo:52} {what:30} DOWNLOADABLE")
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except Exception as e: # noqa: BLE001
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msg = str(e)
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if "not in the authorized list" in msg or "403" in msg:
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print(f"{repo:52} {what:30} NEEDS ACCESS — click 'Agree' on the model page")
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blocked.append(repo)
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elif "401" in msg or "restricted" in msg:
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print(f"{repo:52} {what:30} NOT AUTHENTICATED")
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blocked.append(repo)
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elif "404" in msg or "EntryNotFound" in msg:
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# No config.json at the root, but the repo itself is reachable.
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print(f"{repo:52} {what:30} reachable (no config.json)")
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else:
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print(f"{repo:52} {what:30} ERROR {msg[:34]}")
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if blocked:
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print("\nGrant access here (sign in, click 'Agree and access repository'):")
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for repo in blocked:
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print(f" https://huggingface.co/{repo}")
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else:
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print("\nAll required models are downloadable.")
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