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app.py
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@@ -12,17 +12,19 @@ from gradio_huggingfacehub_search import HuggingfaceHubSearch
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logger = logging.getLogger(__name__)
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example = HuggingfaceHubSearch().example_value()
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HEADER_CONTENT =
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ABOUT_CONTENT = """
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This
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It uses [LLama 3.1 70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct).
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via [together.ai](https://together.ai)
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Also, it uses the
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[dataset-server API](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/isValidDataset).
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This space is a fork of
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[davidberenstein1957/text-to-sql-hub-datasets](https://huggingface.co/spaces/davidberenstein1957/text-to-sql-hub-datasets)
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Query history is saved and given to the chat model so you can chat to refine your query as you go.
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When the DuckDB modal is presented, you may need to click on the name of the
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logger = logging.getLogger(__name__)
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example = HuggingfaceHubSearch().example_value()
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HEADER_CONTENT = (
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"# 🤗 Dataset DuckDB Query Chatbot\n\n"
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"This is a basic text to SQL tool that allows you to query datasets on Huggingface Hub. "
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"It's a fork of "
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"[davidberenstein1957/text-to-sql-hub-datasets](https://huggingface.co/spaces/davidberenstein1957/text-to-sql-hub-datasets) "
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"that adds chat capability and table name generation."
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)
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ABOUT_CONTENT = """
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This space uses [LLama 3.1 70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct).
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via [together.ai](https://together.ai)
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Also, it uses the
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[dataset-server API](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/isValidDataset).
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Query history is saved and given to the chat model so you can chat to refine your query as you go.
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When the DuckDB modal is presented, you may need to click on the name of the
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