bilgeyucel notSoNLPnerd commited on
Commit
7f4540f
1 Parent(s): 6a388f4

Full revert (#6)

Browse files

- Full revert (66eb7a9a7cac56edb4efd3666a71eddc53f6e08c)


Co-authored-by: Mayank Jobanputra <notSoNLPnerd@users.noreply.huggingface.co>

Files changed (1) hide show
  1. utils/ui.py +10 -6
utils/ui.py CHANGED
@@ -34,7 +34,7 @@ def main_column():
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  with placeholder:
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  search_bar, button = st.columns([3, 1])
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  with search_bar:
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- _ = st.text_area(f" ", max_chars=200, key='query')
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  with button:
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  st.write(" ")
@@ -44,6 +44,11 @@ def main_column():
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  st.write(" ")
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  st.radio("Answer Type:", (BUTTON_LOCAL_RET_AUG, BUTTON_WEB_RET_AUG), key="query_type")
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  st.markdown(f"<h5>{PLAIN_GPT_ANS}</h5>", unsafe_allow_html=True)
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  placeholder_plain_gpt = st.empty()
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  placeholder_plain_gpt.text_area(f" ", placeholder="The answer will appear here.", disabled=True,
@@ -75,8 +80,7 @@ def left_sidebar():
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  image = Image.open('logo/haystack-logo-colored.png')
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  st.markdown("Thanks for coming to this :hugging_face: space. \n\n"
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  "This is an effort towards showcasing how you can use Haystack for Retrieval Augmented QA, "
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- "with local [FAISSDocumentStore](https://docs.haystack.deepset.ai/reference/document-store-api#faissdocumentstore)"
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- " or a [WebRetriever](https://docs.haystack.deepset.ai/docs/retriever#retrieval-from-the-web). \n\n"
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  "More information on how this was built and instructions along "
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  "with a repository will be published soon and updated here.")
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@@ -102,9 +106,9 @@ def left_sidebar():
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  st.markdown(
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  "## How this works\n"
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  "This app was built with [Haystack](https://haystack.deepset.ai) using the"
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- " [PromptNode](https://docs.haystack.deepset.ai/docs/prompt_node), "
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- "[Retriever](https://docs.haystack.deepset.ai/docs/retriever#embedding-retrieval-recommended),"
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- "and [FAISSDocumentStore](https://docs.haystack.deepset.ai/reference/document-store-api#faissdocumentstore).\n\n"
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  " You can find the source code in **Files and versions** tab."
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  )
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  with placeholder:
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  search_bar, button = st.columns([3, 1])
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  with search_bar:
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+ username = st.text_area(f" ", max_chars=200, key='query')
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  with button:
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  st.write(" ")
 
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  st.write(" ")
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  st.radio("Answer Type:", (BUTTON_LOCAL_RET_AUG, BUTTON_WEB_RET_AUG), key="query_type")
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+ # st.sidebar.selectbox(
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+ # "Example Questions:",
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+ # QUERIES,
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+ # key='q_drop_down', on_change=set_question)
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+
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  st.markdown(f"<h5>{PLAIN_GPT_ANS}</h5>", unsafe_allow_html=True)
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  placeholder_plain_gpt = st.empty()
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  placeholder_plain_gpt.text_area(f" ", placeholder="The answer will appear here.", disabled=True,
 
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  image = Image.open('logo/haystack-logo-colored.png')
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  st.markdown("Thanks for coming to this :hugging_face: space. \n\n"
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  "This is an effort towards showcasing how you can use Haystack for Retrieval Augmented QA, "
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+ "with local document store and a WebRetriever (coming soon!). \n\n"
 
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  "More information on how this was built and instructions along "
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  "with a repository will be published soon and updated here.")
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  st.markdown(
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  "## How this works\n"
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  "This app was built with [Haystack](https://haystack.deepset.ai) using the"
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+ " [`PromptNode`](https://docs.haystack.deepset.ai/docs/prompt_node), "
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+ "[`Retriever`](https://docs.haystack.deepset.ai/docs/retriever#embedding-retrieval-recommended),"
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+ "and [`FAISSDocumentStore`](https://docs.haystack.deepset.ai/reference/document-store-api#faissdocumentstore).\n\n"
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  " You can find the source code in **Files and versions** tab."
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  )
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