Tuana commited on
Commit
ea394a5
2 Parent(s): 19b8963 b797bbf

Merge pull request #1 from TuanaCelik/ui-styling

Browse files
Files changed (3) hide show
  1. app.py +6 -3
  2. requirements.txt +1 -1
  3. utils/haystack.py +2 -4
app.py CHANGED
@@ -11,12 +11,15 @@ from utils.ui import reset_results, set_initial_state
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  set_initial_state()
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- st.write("# What have they been tweeting about lately?")
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  # Search bar
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- username = st.text_input("", value=st.session_state.username, max_chars=100, on_change=reset_results)
 
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- run_pressed = st.button("Run")
 
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  run_query = (
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  run_pressed or username != st.session_state.username
 
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  set_initial_state()
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+ st.write("# 🐤 What have they been tweeting about lately?")
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+ search_bar, button = st.columns(2)
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  # Search bar
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+ with search_bar:
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+ username = st.text_input("", value=st.session_state.username, on_change=reset_results, label_visibility="collapsed")
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+ with button:
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+ run_pressed = st.button("Seach tweets")
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  run_query = (
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  run_pressed or username != st.session_state.username
requirements.txt CHANGED
@@ -1,5 +1,5 @@
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  farm-haystack==1.13.0
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- streamlit==1.10.0
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  markdown
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  st-annotated-text
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  python-dotenv
 
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  farm-haystack==1.13.0
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+ streamlit==1.18.0
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  markdown
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  st-annotated-text
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  python-dotenv
utils/haystack.py CHANGED
@@ -5,9 +5,7 @@ from utils.config import TWITTER_BEARER, OEPN_AI_KEY
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  from haystack.nodes import PromptNode, PromptTemplate
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  # cached to make index and models load only at start
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- @st.cache(
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- hash_funcs={"builtins.SwigPyObject": lambda _: None}, allow_output_mutation=True
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- )
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  def start_haystack():
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  #Use this function to contruct a pipeline
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  prompt_node = PromptNode(model_name_or_path="text-davinci-003", api_key=OEPN_AI_KEY)
@@ -40,7 +38,7 @@ def start_haystack():
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  prompter, template = start_haystack()
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- @st.cache(allow_output_mutation=True)
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  def query(username):
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  bearer_token = TWITTER_BEARER
 
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  from haystack.nodes import PromptNode, PromptTemplate
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  # cached to make index and models load only at start
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+ @st.cache_resource
 
 
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  def start_haystack():
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  #Use this function to contruct a pipeline
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  prompt_node = PromptNode(model_name_or_path="text-davinci-003", api_key=OEPN_AI_KEY)
 
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  prompter, template = start_haystack()
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+ @st.cache_data(show_spinner=False)
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  def query(username):
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  bearer_token = TWITTER_BEARER