Fixed README config

README.md

@@ -1,2 +1,21 @@
-# paper-qa-gradio
-Paper QA Gradio Space
+---
+title: Paper Qa
+emoji: 📉
+colorFrom: indigo
+colorTo: blue
+sdk: gradio
+sdk_version: 3.18.0
+app_file: app.py
+pinned: true
+license: mit
+---
+
+# Paper QA
+
+This tool will enable asking questions of your uploaded text or PDF documents.
+It uses OpenAI's GPT models and thus you must enter your API key below. This
+tool is under active development and currently uses many tokens - up to 10,000
+for a single query. That is $0.10-0.20 per query, so please be careful!
+
+* [PaperQA](https://github.com/whitead/paper-qa) is the code used to build this tool.
+* [langchain](https://github.com/hwchase17/langchain) is the main library this tool utilizes.

space.py

@@ -49,7 +49,7 @@ with gr.Blocks() as demo:
     gr.Markdown("""
     # Document Question and Answer
 
-    This tool will enable question and answers with your uploaded text or PDF documents.
+    This tool will enable asking questions of your uploaded text or PDF documents.
     It uses OpenAI's GPT models and thus you must enter your API key below. This
     tool is under active development and currently uses many tokens - up to 10,000
     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:
     gr.Markdown("## Answer")
     answer = gr.Markdown(label="Answer")
     with gr.Accordion("Context", open=False):
-        gr.Markdown("### Context\n\nThe following context was used to generate the answer:")
+        gr.Markdown(
+            "### Context\n\nThe following context was used to generate the answer:")
         context = gr.Markdown(label="Context")
     ask.click(fn=do_ask, inputs=[query, buildb,
                                  openai_api_key, dataset], outputs=[answer, context])