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Update app.py
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app.py
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@@ -18,7 +18,21 @@ gr.ChatInterface(
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fn=message_respond,
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type="messages",
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title="RAG System for 'The Count of Monte Cristo' book",
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description=
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theme=gr.themes.Monochrome(font='Lora', text_size='lg', radius_size='sm'),
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examples=["Who is Monte Cristo?",
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"What is the title of Chapter 93",
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fn=message_respond,
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type="messages",
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title="RAG System for 'The Count of Monte Cristo' book",
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description='''
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This project is aimed at developing RAG system for documents corpus.
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To be more precise, this system operates with the english version of the book 'The Count of Monte Cristo'.
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API key for model requests is already provided.
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Short description:
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1. Core LLM: 'groq/llama3-8b-8192'
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2. Cross-encoder: 'cross-encoder/ms-marco-MiniLM-L-12-v2'
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3. Retriever: bm25 + bi-encoder('all-MiniLM-L6-v2')
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The examples of the questions are provided below. Also, feel free to ask your own questions.
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Full code can be found on github via this link https://github.com/rDrayBen/Neural_networks_RAG
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''',
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theme=gr.themes.Monochrome(font='Lora', text_size='lg', radius_size='sm'),
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examples=["Who is Monte Cristo?",
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"What is the title of Chapter 93",
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