Add initial Streamlit app structure with data loading and portfolio management tabs

app.py

@@ -0,0 +1,60 @@
+import streamlit as st
+st.set_page_config(layout="wide")
+import numpy as np
+import pandas as pd
+import time
+from fuzzywuzzy import process
+
+def load_file(upload):
+    if upload is not None:
+        try:
+            if upload.name.endswith('.csv'):
+                df = pd.read_csv(upload)
+            elif upload.name.endswith(('.xls', '.xlsx')):
+                df = pd.read_excel(upload)
+            else:
+                st.error('Please upload either a CSV or Excel file')
+                return None
+            
+            export_df = df.copy()
+            
+            return export_df, df
+        except Exception as e:
+            st.error(f'Error loading file: {str(e)}')
+            return None
+    return None
+
+tab1, tab2 = st.tabs(["Data Load", "Manage Portfolio"])
+with tab1:
+    if st.button('Clear data', key='reset1'):
+        st.session_state.clear()
+
+    st.subheader("Projections File")
+    st.info("upload a projections file that has Data oriented in the following format:")
+    
+    # Create two columns for the uploader and template button
+    upload_col, template_col = st.columns([3, 1])
+    
+    with upload_col:
+        projections_file = st.file_uploader("Upload Projections File (CSV or Excel)", type=['csv', 'xlsx', 'xls'])
+    
+    with template_col:
+        # Create empty DataFrame with required columns
+        template_df = pd.DataFrame(columns=['player_names', 'position', 'team', 'salary', 'median', 'ownership', 'captain ownership'])
+        # Add download button for template
+        st.download_button(
+            label="Template",
+            data=template_df.to_csv(index=False),
+            file_name="projections_template.csv",
+            mime="text/csv"
+        )
+        
+    if projections_file:
+        export_projections, projections = load_file(projections_file)
+        if projections is not None:
+            st.success('Projections file loaded successfully!')
+            st.dataframe(projections)
+
+with tab2:
+    if st.button('Clear data', key='reset2'):
+        st.session_state.clear()

app.yaml

@@ -0,0 +1,10 @@
+runtime: python
+env: flex
+
+runtime_config:
+  python_version: 3
+
+entrypoint: streamlit run streamlit-app.py --server.port $PORT
+
+automatic_scaling:
+  max_num_instances: 200

requirements.txt

@@ -0,0 +1,10 @@
+streamlit
+gspread
+openpyxl
+matplotlib
+streamlit-aggrid
+pulp
+docker
+plotly
+scipy
+pymongo