Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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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("HuggingFaceH4/zephyr-7b-beta")
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def fetch_response(user_input):
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chat = ChatGroq(
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import gradio as gr
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from huggingface_hub import InferenceClient
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from langchain_core.vectorstores import InMemoryVectorStore
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from langchain.chains import RetrievalQA
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain_groq import ChatGroq
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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("HuggingFaceH4/zephyr-7b-beta")
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model_name = "llama-3.3-70b-versatile"
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groq_api_key = "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"
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groq_chat = ChatGroq(groq_api_key=groq_api_key, model_name=model_name)
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embeddings = HuggingFaceEmbeddings(
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model_name = "pkshatech/GLuCoSE-base-ja"
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)
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vector_store = InMemoryVectorStore.load(
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"/content/sample_data/kinousei_vector_store", embeddings
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)
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retriever = vector_store.as_retriever(search_kwargs={"k": 4})
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def fetch_response(user_input):
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chat = ChatGroq(
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