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25d3003
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  1. app.py +3 -3
app.py CHANGED
@@ -89,11 +89,11 @@ def main():
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  st.warning(f'The last available adjusted closing price for {ticker_symbol} on {end_date.strftime("%d %B %Y")} is **{actual_last_price:.2f}**.')
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  if sentiment == 'Positive':
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- st.success(f'**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates positive sentiment for {forecast_horizon.lower()} time frame.')
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  elif sentiment == 'Negative':
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- st.error(f'**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates negative sentiment for {forecast_horizon.lower()} time frame.')
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  else:
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- st.info(f'**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates neutral sentiment for {forecast_horizon.lower()} time frame.')
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  st.markdown(f"""
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  **Find below the prediction Data for the {forecast_horizon.lower()}:**
 
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  st.warning(f'The last available adjusted closing price for {ticker_symbol} on {end_date.strftime("%d %B %Y")} is **{actual_last_price:.2f}**.')
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  if sentiment == 'Positive':
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+ st.success(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates positive sentiment for {forecast_horizon.lower()} time frame.")
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  elif sentiment == 'Negative':
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+ st.error(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates negative sentiment for {forecast_horizon.lower()} time frame.")
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  else:
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+ st.info(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} - {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates neutral sentiment for {forecast_horizon.lower()} time frame.")
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  st.markdown(f"""
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  **Find below the prediction Data for the {forecast_horizon.lower()}:**