Spaces:
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disable llama2 that requires paid version of hf
Browse files- README.md +1 -1
- streamlit_app.py +3 -3
README.md
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## Introduction
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Question/Answering on scientific documents using LLMs (OpenAI, Mistral, LLama2).
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This application is the frontend for testing the RAG (Retrieval Augmented Generation) on scientific documents, that we are developing at NIMS.
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Differently to most of the project, we focus on scientific articles and we are using [Grobid](https://github.com/kermitt2/grobid) for text extraction instead of the raw PDF2Text converter (which is comparable with most of other solutions) allow to extract only full-text.
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## Introduction
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Question/Answering on scientific documents using LLMs (OpenAI, Mistral, LLama2, etc..).
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This application is the frontend for testing the RAG (Retrieval Augmented Generation) on scientific documents, that we are developing at NIMS.
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Differently to most of the project, we focus on scientific articles and we are using [Grobid](https://github.com/kermitt2/grobid) for text extraction instead of the raw PDF2Text converter (which is comparable with most of other solutions) allow to extract only full-text.
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streamlit_app.py
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is_api_key_provided = st.session_state['api_key']
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model = st.sidebar.radio("Model (cannot be changed after selection or upload)",
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("chatgpt-3.5-turbo", "mistral-7b-instruct-v0.1"
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index=1,
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captions=[
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"ChatGPT 3.5 Turbo + Ada-002-text (embeddings)",
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"Mistral-7B-Instruct-V0.1 + Sentence BERT (embeddings)"
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"LLama2-70B-Chat + Sentence BERT (embeddings)",
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],
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help="Select the model you want to use.",
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disabled=is_api_key_provided)
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is_api_key_provided = st.session_state['api_key']
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model = st.sidebar.radio("Model (cannot be changed after selection or upload)",
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("chatgpt-3.5-turbo", "mistral-7b-instruct-v0.1"),#, "llama-2-70b-chat"),
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index=1,
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captions=[
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"ChatGPT 3.5 Turbo + Ada-002-text (embeddings)",
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"Mistral-7B-Instruct-V0.1 + Sentence BERT (embeddings)"
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# "LLama2-70B-Chat + Sentence BERT (embeddings)",
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],
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help="Select the model you want to use.",
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disabled=is_api_key_provided)
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