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clementsan
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1da1e92
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eb94a8f
Add new line to description
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app.py
CHANGED
@@ -185,11 +185,11 @@ def demo():
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# qa_chain = gr.Variable()
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gr.Markdown(
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"""<center><h2>PDF-based chatbot
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<h3>Ask any questions about your PDF documents, along with follow-ups</h3>
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<b>Note:</b> This AI assistant performs retrieval-augmented generation from your PDF documents. \
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When generating answers, it takes past questions into account (via conversational memory), and points to specific document sources for clarity purposes</i>
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<b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate a reply.
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""")
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with gr.Tab("Step 1 - Document pre-processing"):
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with gr.Row():
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# qa_chain = gr.Variable()
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gr.Markdown(
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"""<center><h2>PDF-based chatbot (powered by LangChain and open-source LLMs)</center></h2>
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<h3>Ask any questions about your PDF documents, along with follow-ups</h3>
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<b>Note:</b> This AI assistant performs retrieval-augmented generation from your PDF documents. \
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When generating answers, it takes past questions into account (via conversational memory), and points to specific document sources for clarity purposes</i>
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<br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate a reply.
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""")
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with gr.Tab("Step 1 - Document pre-processing"):
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with gr.Row():
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