QuantumLearner commited on
Commit
6f30b70
·
verified ·
1 Parent(s): e2b227a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -108,7 +108,7 @@ def plot_dual_axes(
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  def run_historical_sentiment(ticker):
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  # Explanation of this page
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- st.write("**Historical Sentiment**")
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  st.write(
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  "Use this page to see how sentiment changes over time for a specific ticker. "
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  "It retrieves past data on sentiment, posts, comments, likes, and impressions "
@@ -259,7 +259,7 @@ def plot_trending(df, title, top_n):
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  def run_trending_sentiment(top_n):
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  # Explanation of this page
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- st.write("**Trending Sentiment**")
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  st.write(
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  "Use this page to see which symbols rank highest in bullish or bearish sentiment right now. "
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  "This helps pinpoint active tickers with strong positive or negative views."
@@ -385,7 +385,7 @@ def run_change_sentiment(top_n):
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  def main():
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  st.set_page_config(page_title="Social Sentiment Analysis", layout="wide")
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- st.title("Trending Social Sentiment")
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  # Overall introduction to the app
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  st.write(
@@ -437,21 +437,21 @@ def main():
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  st.session_state.change_top_n = top_n
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  if page == "Historical Sentiment":
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- #st.header("Historical Social Sentiment")
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  if st.session_state.historical_run:
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  run_historical_sentiment(st.session_state.historical_ticker)
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  else:
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  st.info("Enter a ticker and click the button.")
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  elif page == "Trending Sentiment":
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- #st.header("Trending Social Sentiment")
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  if st.session_state.trending_run:
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  run_trending_sentiment(st.session_state.trending_top_n)
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  else:
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  st.info("Pick a top N and click the button.")
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  elif page == "Sentiment Change":
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- #st.header("Social Sentiment Change")
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  if st.session_state.change_run:
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  run_change_sentiment(st.session_state.change_top_n)
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  else:
 
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  def run_historical_sentiment(ticker):
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  # Explanation of this page
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+ #st.write("**Historical Sentiment**")
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  st.write(
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  "Use this page to see how sentiment changes over time for a specific ticker. "
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  "It retrieves past data on sentiment, posts, comments, likes, and impressions "
 
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  def run_trending_sentiment(top_n):
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  # Explanation of this page
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+ #st.write("**Trending Sentiment**")
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  st.write(
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  "Use this page to see which symbols rank highest in bullish or bearish sentiment right now. "
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  "This helps pinpoint active tickers with strong positive or negative views."
 
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  def main():
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  st.set_page_config(page_title="Social Sentiment Analysis", layout="wide")
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+ #st.title("Trending Social Sentiment")
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  # Overall introduction to the app
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  st.write(
 
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  st.session_state.change_top_n = top_n
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  if page == "Historical Sentiment":
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+ st.header("Historical Social Sentiment")
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  if st.session_state.historical_run:
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  run_historical_sentiment(st.session_state.historical_ticker)
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  else:
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  st.info("Enter a ticker and click the button.")
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  elif page == "Trending Sentiment":
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+ st.header("Trending Social Sentiment")
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  if st.session_state.trending_run:
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  run_trending_sentiment(st.session_state.trending_top_n)
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  else:
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  st.info("Pick a top N and click the button.")
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  elif page == "Sentiment Change":
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+ st.header("Social Sentiment Change")
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  if st.session_state.change_run:
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  run_change_sentiment(st.session_state.change_top_n)
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  else: