Upload data_app.py

data_app.py

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+import streamlit as st
+import pandas as pd
+from datetime import datetime
+import os
+
+st.set_page_config(page_title="🔧 Service Tech Tracker", layout="wide")
+st.title("🔧 Service Tech Fuel & Job Tracker")
+
+# Create folders
+os.makedirs("data", exist_ok=True)
+os.makedirs("jobs", exist_ok=True)
+
+page = st.sidebar.radio("Go to", ["Gas & Mileage", "New Job", "All Data"])
+
+if page == "Gas & Mileage":
+    st.subheader("⛽ Gas & Mileage Tracker")
+    
+    col1, col2 = st.columns(2)
+    with col1:
+        country = st.selectbox("Country", ["USA", "Canada", "Other"])
+        region = st.text_input("State / Province / Region")
+    
+    price = st.number_input("Gas Price", value=4.50, step=0.01)
+    miles = st.number_input("Miles Driven", value=0.0)
+    trip_type = st.radio("Type", ["Work", "Personal"])
+    notes = st.text_area("Notes (Job #, location, etc.)")
+    
+    if st.button("Save Entry"):
+        new_row = pd.DataFrame([{
+            "Date": datetime.now().strftime("%Y-%m-%d"),
+            "Country": country,
+            "Region": region,
+            "Price": price,
+            "Miles": miles,
+            "Type": trip_type,
+            "Notes": notes
+        }])
+        
+        try:
+            df = pd.read_csv("data/mileage.csv")
+            df = pd.concat([df, new_row], ignore_index=True)
+        except:
+            df = new_row
+        df.to_csv("data/mileage.csv", index=False)
+        st.success("✅ Saved!")
+
+    if os.path.exists("data/mileage.csv"):
+        st.dataframe(pd.read_csv("data/mileage.csv"))
+
+elif page == "New Job":
+    st.subheader("📁 New Job")
+    job_id = st.text_input("Job ID")
+    client = st.text_input("Client")
+    desc = st.text_area("Description")
+    if st.button("Create Job"):
+        os.makedirs(f"jobs/{job_id}", exist_ok=True)
+        st.success(f"Job {job_id} created!")
+
+elif page == "All Data":
+    st.subheader("All Records")
+    if os.path.exists("data/mileage.csv"):
+        st.dataframe(pd.read_csv("data/mileage.csv"))
+
+st.caption("Service Tech Tracker • Hugging Face")