Fecalisboa commited on
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1 Parent(s): 503065c

Update app.py

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  1. app.py +2 -4
app.py CHANGED
@@ -288,10 +288,8 @@ def demo():
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  """<center><h2>PDF-based chatbot</center></h2>
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  <h3>Ask any questions about your PDF documents</h3>""")
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  gr.Markdown(
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- """<b>Note:</b> This AI assistant, using Langchain and open-source LLMs, performs retrieval-augmented generation (RAG) from your PDF documents. \
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- The user interface explicitely shows multiple steps to help understand the RAG workflow.
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- This chatbot takes past questions into account when generating answers (via conversational memory), and includes document references for clarity purposes.<br>
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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 - Upload PDF"):
 
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  """<center><h2>PDF-based chatbot</center></h2>
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  <h3>Ask any questions about your PDF documents</h3>""")
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  gr.Markdown(
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+ """<b>Note:</b> Esta a lucIAna, primeira Vers茫o da IA para seus PDF documentos. \
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+ Este chatbot leva em considera莽茫o perguntas anteriores ao gerar respostas (por meio de mem贸ria conversacional) e inclui refer锚ncias a documentos para fins de clareza.
 
 
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  """)
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  with gr.Tab("Step 1 - Upload PDF"):