whitead commited on
Commit
03af56f
1 Parent(s): 64ed59a

Fixed README config

Browse files
Files changed (2) hide show
  1. README.md +21 -2
  2. space.py +3 -2
README.md CHANGED
@@ -1,2 +1,21 @@
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- # paper-qa-gradio
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- Paper QA Gradio Space
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: Paper Qa
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+ emoji: 📉
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+ colorFrom: indigo
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+ colorTo: blue
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+ sdk: gradio
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+ sdk_version: 3.18.0
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+ app_file: app.py
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+ pinned: true
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+ license: mit
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+ ---
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+
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+ # Paper QA
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+
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+ This tool will enable asking questions of your uploaded text or PDF documents.
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+ It uses OpenAI's GPT models and thus you must enter your API key below. This
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+ tool is under active development and currently uses many tokens - up to 10,000
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+ for a single query. That is $0.10-0.20 per query, so please be careful!
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+
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+ * [PaperQA](https://github.com/whitead/paper-qa) is the code used to build this tool.
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+ * [langchain](https://github.com/hwchase17/langchain) is the main library this tool utilizes.
space.py CHANGED
@@ -49,7 +49,7 @@ with gr.Blocks() as demo:
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  gr.Markdown("""
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  # Document Question and Answer
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- This tool will enable question and answers with your uploaded text or PDF documents.
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  It uses OpenAI's GPT models and thus you must enter your API key below. This
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  tool is under active development and currently uses many tokens - up to 10,000
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  for a single query. That is $0.10-0.20 per query, so please be careful!
@@ -87,7 +87,8 @@ with gr.Blocks() as demo:
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  gr.Markdown("## Answer")
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  answer = gr.Markdown(label="Answer")
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  with gr.Accordion("Context", open=False):
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- gr.Markdown("### Context\n\nThe following context was used to generate the answer:")
 
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  context = gr.Markdown(label="Context")
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  ask.click(fn=do_ask, inputs=[query, buildb,
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  openai_api_key, dataset], outputs=[answer, context])
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  gr.Markdown("""
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  # Document Question and Answer
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+ This tool will enable asking questions of your uploaded text or PDF documents.
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  It uses OpenAI's GPT models and thus you must enter your API key below. This
54
  tool is under active development and currently uses many tokens - up to 10,000
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  for a single query. That is $0.10-0.20 per query, so please be careful!
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  gr.Markdown("## Answer")
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  answer = gr.Markdown(label="Answer")
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  with gr.Accordion("Context", open=False):
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+ gr.Markdown(
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+ "### Context\n\nThe following context was used to generate the answer:")
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  context = gr.Markdown(label="Context")
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  ask.click(fn=do_ask, inputs=[query, buildb,
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  openai_api_key, dataset], outputs=[answer, context])