Delete app.py

app.py

@@ -1,75 +0,0 @@
-import pandas as pd
-import streamlit as st
-import re
-
-st.set_page_config(page_title="Skype Tool + Charterer Matrix", layout="wide")
-
-CONTACT_FILE = "contacts.csv"
-MATRIX_FILE = "channel_matrix.xlsx"
-
-tabs = st.tabs(["Contact Filter", "Channel Matrix"])
-
-# TAB 1: Contact Filter Tool
-with tabs[0]:
-    st.title("📒 Skype Contact Filter Tool")
-
-    TAGS = ["+mini", "+hdy", "+smx", "+pmx", "+cape", "+med", "+atl", "+rsea",
-            "+safr", "+pg", "+wci", "+eci", "+seas", "+feast", "+nopac", "+aus", "+aust"]
-
-    df = pd.read_csv(CONTACT_FILE)
-    df["display_name"] = df["display_name"].astype(str).str.lower()
-    if "country" not in df.columns:
-        df["country"] = "N/A"
-
-    filter_mode = st.radio("Filter Mode", ["AND", "OR"], horizontal=True)
-
-    st.markdown("### Select Tags to Filter")
-    selected_tags = []
-    cols = st.columns(6)
-    for i, tag in enumerate(TAGS):
-        if cols[i % 6].checkbox(tag):
-            selected_tags.append(tag)
-
-    if selected_tags:
-        filtered_df = df.copy()
-        if filter_mode == "AND":
-            for tag in selected_tags:
-                filtered_df = filtered_df[filtered_df["display_name"].str.contains(re.escape(tag))]
-        else:
-            pattern = "|".join(re.escape(tag) for tag in selected_tags)
-            filtered_df = filtered_df[filtered_df["display_name"].str.contains(pattern)]
-
-        st.success(f"Found {len(filtered_df)} matching contacts.")
-        st.markdown("### ✅ Tick off contacts as you check them:")
-        for i, row in filtered_df.iterrows():
-            st.checkbox(f"**{row['display_name'].title()}**  _( {row['country']} )_", key=f"contact_{i}")
-    else:
-        st.info("Select at least one tag to filter the contacts.")
-
-# TAB 2: Charterer-Operator Matrix
-with tabs[1]:
-    st.title("📊 Channel Matrix Checker")
-
-    try:
-        matrix_df = pd.read_excel(MATRIX_FILE)
-        matrix_df = matrix_df.rename(columns={matrix_df.columns[0]: "Operator"})
-
-        charterers = list(matrix_df.columns[1:])
-        selected_charterer = st.selectbox("Select a Charterer", charterers)
-
-        if selected_charterer:
-            yes_ops = matrix_df[matrix_df[selected_charterer].astype(str).str.upper() == "YES"]["Operator"]
-            no_ops = matrix_df[matrix_df[selected_charterer].astype(str).str.upper() == "NO"]["Operator"]
-
-            col1, col2 = st.columns(2)
-            with col1:
-                st.success(f"✅ Operators who work with us for {selected_charterer}'s cargoes (CRH TRADING):")
-                for name in yes_ops:
-                    st.markdown(f"- **{name}**")
-            with col2:
-                st.error(f"❌ Operators who won't work with us for {selected_charterer}'s cargoes (CRH TRADING):")
-                for name in no_ops:
-                    st.markdown(f"- {name}")
-    except Exception as e:
-        st.warning("Could not load matrix file. Please ensure 'channel_matrix.xlsx' exists.")
-        st.text(f"Error: {e}")