nirajandhakal commited on
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4b08c1f
1 Parent(s): 4814340

Update app.py

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  1. app.py +8 -24
app.py CHANGED
@@ -286,30 +286,14 @@ def demo():
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  gr.Markdown(
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  """<center>
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- <img src="https://github.com/dhakalnirajan" alt="Profile Picture">
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- <h2>PDF-based Chatbot (powered by LangChain and open-source Large Language Models)</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 includes document references for clarity purposes.</i>
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-
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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 an output.
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-
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- <div style="display: flex; justify-content: center; align-items: center; margin-top: 2rem; gap: 1rem;">
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- <a href="https://huggingface.co/nirajandhakal" target="_blank" rel="noreferrer">
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- <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-%23FF0000.svg?style=for-the-badge&logo=huggingface&logoColor=white" alt="Hugging Face">
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- </a>
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- <a href="https://twitter.com/nirajandhakal_7" target="_blank" rel="noreferrer">
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- <img src="https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white" alt="Twitter">
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- </a>
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- <a href="https://www.linkedin.com/in/nirajandhakal07" target="_blank" rel="noreferrer">
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- <img src="https://img.shields.io/badge/LinkedIn-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn">
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- </a>
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- <a href="https://github.com/dhakalnirajan" target="_blank" rel="noreferrer">
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- <img src="https://img.shields.io/badge/Github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white" alt="GitHub">
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- </a>
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- </div>
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- </center>
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- """
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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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  gr.Markdown(
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  """<center>
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+ <h2>PDF-based Chatbot (powered by LangChain and open-source Large Language Models)</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 includes document references for clarity purposes.</i>
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+
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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 an output.
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+ </center>
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+ """
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  )
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  with gr.Tab("Step 1 - Document pre-processing"):
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  with gr.Row():