fix: try streamlit multipage

pages/ta.py

@@ -0,0 +1,89 @@
+import streamlit as st
+import datetime
+import pandas as pd
+import requests
+import os
+import sys
+from PIL import Image
+from io import StringIO
+from openbb_terminal.stocks.stocks_helper import load
+from openbb_terminal.common.technical_analysis.volatility_view import display_bbands, display_donchian
+
+st.write("""
+# Technical Analysis Web Application
+Leveraging the openbb sdk, we can build a web application to display 
+technical analysis graphs for any stock.
+""")
+
+st.sidebar.header('User Input Parameters')
+
+today = datetime.date.today()
+def user_input_features():
+    ticker = st.sidebar.text_input("Ticker", 'ZIM')
+    start_date = st.sidebar.text_input("Start Date", '2020-05-01')
+    end_date = st.sidebar.text_input("End Date", f'{today}')
+    # ta_range = st.sidebar.number_input("TA Range", min_value=1, max_value=50)
+    return ticker, start_date, end_date # , ta_range
+
+symbol, start, end = user_input_features()
+
+
+def remove_existing_file(func):
+    def wrapper(*args, **kwargs):
+        old_stdin = sys.stdin
+        sys.stdin = StringIO("y")
+        stream = os.popen('cd ~ && pwd')
+        root_dir = stream.read()
+        sample_dir = root_dir.strip()
+        # remove /home/codespace/OpenBBUserData/exports/bbands.png already
+        # get last arg as export
+        export = args[-1]
+        temp_image = os.path.join(sample_dir, "OpenBBUserData", "exports", export)
+        # if exists erase
+        if os.path.exists(temp_image):
+            os.remove(temp_image)
+        func(*args, **kwargs)
+        sys.stdin = old_stdin
+        if os.path.exists(temp_image):
+            return temp_image
+        return None
+    return wrapper
+
+@remove_existing_file
+@st.cache_data
+def build_bbands_img(data, symbol, window=15, n_std=2, export="bbands.png"):
+    return display_bbands(data, symbol, window, n_std, export=export)
+
+
+@remove_existing_file
+@st.cache_data
+def build_donchian_img(data, symbol, export="donchian.png"):
+    return display_donchian(data, symbol, export=export)
+company_name = symbol.upper()
+
+start = pd.to_datetime(start)
+end = pd.to_datetime(end)
+
+# Read data 
+data = load(symbol,start, 1440, end)
+st.write(data)
+# Adjusted Close Price
+st.header(f"Adjusted Close Price\n {company_name}")
+st.line_chart(data["Close"])
+
+# get ta graph
+bbands_img = build_bbands_img(data, symbol, 15, 2, "bbands.png")
+# plot ta using open bb sdk in streamlit
+st.header(f"Bollinger Bands")
+# 
+# if bbands.png exists, display it
+
+if bbands_img:
+    st.image(bbands_img, caption='Bollinger bands chart')
+
+donchian_img = build_donchian_img(data, symbol, "donchian.png")
+# plot ta using open bb sdk in streamlit
+st.header(f"Donchian")
+
+if donchian_img:
+    st.image(donchian_img, caption='Donchian Openbb chart') 

requirements.txt

@@ -0,0 +1,3 @@
+openbb
+streamlit
+yfinance