Delete app.py

app.py

@@ -1,50 +0,0 @@
-import streamlit as st
-import pandas as pd
-from forecast_engine import forecast_consumables
-
-# Load the samples CSV for inventory lookup
-samples_df = pd.read_csv('samples.csv')
-
-st.title("Consumables Forecast Dashboard")
-lab_id = st.text_input("Lab ID", value="Lab001")
-consumable_type = st.selectbox("Consumable Type", ["Filters", "Reagents", "Vials"])
-usage_data = st.text_area("Enter last 60 days usage, comma-separated", value="23,26,25,18,23,20,24,25,27,24,18,20,26,24,18,20,27,26,21,18,25,24,28,25,21,18,20,26,24,22,24,20,27,26,21,25,24,28,25,26,24,22,24,20,27,26,21,18,20,25,22,21,19,20,24,20,17,20")
-days = st.selectbox("Forecast Period", [7, 14, 30])
-threshold = st.number_input("Set Usage Threshold for Alert (Total Usage)", min_value=0, value=500, step=10)
-safety_stock = st.number_input("Safety Stock Level", min_value=0, value=50, step=1)
-
-# Look up current inventory from samples.csv
-current_inventory = 0
-if lab_id and consumable_type:
-    inventory_row = samples_df[(samples_df['Lab_ID'] == lab_id) & (samples_df['Consumable_Type'] == consumable_type)]
-    if not inventory_row.empty:
-        current_inventory = inventory_row.iloc[0]['Current_Stock']
-        st.write(f"Current Inventory for {lab_id} ({consumable_type}): {current_inventory} units")
-    else:
-        st.warning(f"No inventory data found for Lab ID {lab_id} and Consumable Type {consumable_type}. Assuming 0 inventory.")
-
-if st.button("Forecast"):
-    try:
-        usage_series = list(map(int, usage_data.split(",")))
-        if len(usage_series) != 60:
-            st.error("Please enter exactly 60 days of usage data.")
-        else:
-            forecast = forecast_consumables(usage_series, days)
-            total_usage = sum(forecast)
-            # Display the chart
-            st.line_chart(forecast)
-            # Display the daily predicted usage
-            st.write("Predicted Usage for Next", days, "Days:", forecast)
-            # Display the total predicted usage
-            st.success(f"Predicted Total Usage (next {days} days): {total_usage:.1f}")
-            # Threshold alerting
-            if total_usage > threshold:
-                st.warning(f"⚠️ Alert: Total forecasted usage ({total_usage:.1f}) exceeds threshold ({threshold})! Consider reordering.")
-            # Order suggestion
-            reorder_quantity = total_usage - current_inventory + safety_stock
-            if reorder_quantity > 0:
-                st.info(f"📦 Suggested Reorder Quantity: {reorder_quantity:.1f} units")
-            else:
-                st.info("✅ Current inventory is sufficient. No reorder needed.")
-    except ValueError:
-        st.error("Invalid input. Please enter comma-separated integers (e.g., 10,11,12,...).")