Create app.py

app.py

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+from tabs.plot_by_columns import plot_by_columns
+from tabs.volume_profile import volume_profile
+from datetime import time
+import streamlit as st
+
+
+st.markdown('# Plotting Dashboard')
+
+st.sidebar.title("Meta Parameters")
+st.sidebar.caption("Choose Meta Parameters here.")
+
+ticker_name = st.sidebar.text_input('Enter the ticker name')
+given_date = st.sidebar.text_input('Enter the date')
+strategy_timeframe = st.sidebar.text_input('Enter the strategy timeframe')
+vp_timeframe = st.sidebar.text_input('Enter the volume profile timeframe')
+
+by_columns_tab, strategy_tab, volume_profile_tab = st.tabs(["plot columns by each other", "plot strategy",
+                                                            "volume profile"])
+
+with by_columns_tab:
+    if ticker_name != '' and given_date != '' and strategy_timeframe != '':
+        plot_by_columns(ticker=ticker_name, date=given_date, timeframe=strategy_timeframe, session=st)
+    else:
+        st.markdown('### No Dataframe to Show Yet!')
+
+with volume_profile_tab:
+    st.markdown('#### Interval of Volume Profile')
+    vp_interval = st.slider("Choose the interval of volume Profile", value=(time(12, 45), time(16, 0)))
+
+    if ticker_name != '' and given_date != '' and strategy_timeframe != '' and vp_timeframe != '':
+        volume_profile(ticker=ticker_name, date=given_date, strategy_timeframe=strategy_timeframe,
+                       volume_profile_timeframe=vp_timeframe, interval=vp_interval, session=st)
+
+    else:
+        st.markdown('### No Dataframe to Show Yet!')