bhaskartripathi commited on
Commit
90bd918
1 Parent(s): f82a1c7

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -207,8 +207,8 @@ def generate_answer_text_davinci_003(question,openAI_key):
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  recommender = SemanticSearch()
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- title = 'PDF GPT'
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- description = """ PDF GPT allows you to chat with your PDF file using Universal Sentence Encoder and Open AI. It gives hallucination free response than other tools as the embeddings are better than OpenAI. The returned response can even cite the page number in square brackets([]) where the information is located, adding credibility to the responses and helping to locate pertinent information quickly."""
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  with gr.Blocks() as demo:
 
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  recommender = SemanticSearch()
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+ title = 'PDF GPT Turbo'
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+ description = """ PDF GPT Turbo allows you to chat with your PDF file using Universal Sentence Encoder and Open AI. It gives hallucination free response than other tools as the embeddings are better than OpenAI. The returned response can even cite the page number in square brackets([]) where the information is located, adding credibility to the responses and helping to locate pertinent information quickly."""
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  with gr.Blocks() as demo: