app.py

#this is the app.py file created for Hugging Face. If this causes problems, revert to app_local.py - which works fine
import streamlit as st
import uuid

# --- 1. CONFIG MUST BE FIRST (CRITICAL FIX) ---
st.set_page_config(
    page_title="Piranaware",
    layout="wide",
    page_icon="🛥️"
)

import os
from src.processing import train_mode_cloud, predict_health_cloud

# --- 2. CSS STYLING (THEME) ---
st.markdown("""
    <style>
    /* Main Background - Pure black */
    .stApp {
        background-color: #000000;
    }
    
    /* Text Color - Safety Yellow */
    .stApp, .stMarkdown, p, label, h1, h2, h3, h4, h5, h6, .stTextInput > label {
        color: #FFD700 !important;
    }
    
    /* Input Fields (Text Input, etc) - Dark Grey Background */
    .stTextInput > div > div > input {
        color: #FFD700;
        background-color: #111111;
    }
    
    /* Buttons - Black & Yellow */
    div.stButton > button {
        background-color: #000000;
        color: #FFD700;
        border: 2px solid #FFD700;
        border-radius: 8px;
        font-weight: bold;
    }
    div.stButton > button:hover {
        background-color: #FFD700;
        color: #000000;
        border: 2px solid #FFD700;
    }

    /* Tabs */
    button[data-baseweb="tab"] {
        color: #BDB76B !important; 
    }
    button[data-baseweb="tab"][aria-selected="true"] {
        color: #FFD700 !important;
        border-bottom: 4px solid #FFD700 !important;
    }
    
    /* Result Boxes */
    .result-box-healthy {
        background-color: #111111;
        border: 2px solid #00FF9C;
        border-left: 6px solid #00C781;
        padding: 15px; border-radius: 5px;
        color: #00FF9C;
    }
    .result-box-anomaly {
        background-color: #111111;
        border: 2px solid #FF5252;
        border-left: 6px solid #D32F2F;
        padding: 15px; border-radius: 5px;
        color: #FF5252;
    }
    </style>
""", unsafe_allow_html=True)

# --- 3. LINUX TEMP PATH SETUP ---
TEMP_AUDIO_PATH = "/tmp/input.wav"

def save_audio(audio_value):
    """
    Saves audio with a UNIQUE filename to prevent file locking errors.
    """
    if audio_value is None: 
        return None
    
    # Generate a random, unique name (e.g., "audio_4f9a2c.wav")
    unique_filename = f"audio_{uuid.uuid4().hex}.wav"
    save_path = os.path.join("/tmp", unique_filename)
    
    # Reset pointer and write
    audio_value.seek(0)
    with open(save_path, "wb") as f:
        f.write(audio_value.read())
        
    return save_path

# --- 4. SIDEBAR ---
with st.sidebar:
    st.title("User Login")
    st.markdown("### Ensure to use your exact boat ID")
    
    boat_id = st.text_input("Enter Boat ID", value="DEMO_BOAT_01").upper().replace(" ", "_")
    st.caption("Training saved online on Google Cloud.")
    st.divider()
    st.info(f"Active Session:\n**{boat_id}**")

# --- 5. MAIN APP ---
st.title("Piranaware Boat Engine AI")

tab_train, tab_test = st.tabs(["🛠️ Train Baseline", "🩺 Diagnostics"])

# --- TAB 1: TRAIN ---
with tab_train:
    st.info(f"Training models for: **{boat_id}**. Ensure engine is HEALTHY.")
    c1, c2, c3 = st.columns(3)
    
    for col, mode in [(c1, "idle"), (c2, "slow"), (c3, "fast")]:
        with col:
            st.markdown(f"### {mode.upper()}")
            # Try/Except handles older Streamlit versions that lack st.audio_input
            try: 
                audio = st.audio_input(f"Rec {mode}", key=f"rec_{mode}")
            except AttributeError: 
                audio = st.file_uploader(f"Up {mode}", type=['wav'], key=f"rec_{mode}")
            
            if st.button(f"Train {mode.upper()}", key=f"btn_{mode}"):
                if audio:
                    path = save_audio(audio)
                    with st.spinner("Training & Uploading to Cloud..."):
                        res = train_mode_cloud(path, mode, boat_id)
                    st.success(res)
                else:
                    st.error("No Audio")

# --- TAB 2: DIAGNOSTICS ---
with tab_test:
    st.divider()
    st.markdown(f"### Diagnostics for: **{boat_id}**")
    
    col_in, col_out = st.columns([1, 2])
    with col_in:
        mode = st.selectbox("Select Mode", ["idle", "slow", "fast"])
        try: 
            test_audio = st.audio_input("Record", key="test")
        except AttributeError:
            test_audio = st.file_uploader("Upload", type=['wav'], key="test")
            
        btn = st.button("Run Diagnostics")
        
    with col_out:
        if btn and test_audio:
            path = save_audio(test_audio)
            with st.spinner("Downloading Model & Analyzing..."):
                report = predict_health_cloud(path, mode, boat_id)
            
            if "HEALTHY" in report:
                st.markdown(f'<div class="result-box-healthy">{report}</div>', unsafe_allow_html=True)
            elif "ANOMALY" in report:
                st.markdown(f'<div class="result-box-anomaly">{report}</div>', unsafe_allow_html=True)
            else:
                st.warning(report)