Update app.py
Browse files
app.py
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@@ -1,6 +1,10 @@
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import gradio as gr
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from huggingface_hub import InferenceClient, login
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import os
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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@@ -8,6 +12,14 @@ login(token=os.getenv('TOKEN'))
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client = InferenceClient("meta-llama/Llama-3.2-1B-Instruct")
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#client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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def respond(
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message,
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history: list[tuple[str, str]],
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import gradio as gr
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from huggingface_hub import InferenceClient, login
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from langchain_community.vectorstores import FAISS
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from langchain_huggingface import HuggingFaceEmbeddings
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import os
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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client = InferenceClient("meta-llama/Llama-3.2-1B-Instruct")
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#client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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folder = snapshot_download(repo_id="umaiku/faiss_index", repo_type="dataset", local_dir=os.getcwd())
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embeddings = HuggingFaceEmbeddings(model_name="intfloat/multilingual-e5-small")
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vector_db = FAISS.load_local("faiss_index", embeddings, allow_dangerous_deserialization=True)
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retriever = vector_db.as_retriever()
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def respond(
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message,
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history: list[tuple[str, str]],
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