src/streamlit_app.py

import streamlit as st
import os
import torch
from PIL import Image
from transformers import AutoModelForCausalLM, AutoProcessor

# -----------------------------------------------------------------------------
# 0. AUTO-FIX FOR UPLOAD ERROR (RUNS INSTANTLY)
# -----------------------------------------------------------------------------
# This creates the config.toml automatically so uploads work.
config_dir = ".streamlit"
if not os.path.exists(config_dir):
    os.makedirs(config_dir)
with open(os.path.join(config_dir, "config.toml"), "w") as f:
    f.write("[server]\nenableXsrfProtection=false\nenableCORS=false\nmaxUploadSize=200\n")

# -----------------------------------------------------------------------------
# 1. SETUP & MODEL LOADING (AarambhAI Gemma)
# -----------------------------------------------------------------------------
st.set_page_config(page_title="SHINUI | Gemma AI", page_icon="✨", layout="wide")

@st.cache_resource
def load_model():
    model_id = "AarambhAI/gemma-like-multimodal-speech-vision-text"
    
    # Load Processor and Model
    # We use trust_remote_code=True because this is a custom architecture
    processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained(
        model_id,
        torch_dtype=torch.float32, # float32 is safer for CPU
        device_map="auto",
        trust_remote_code=True
    )
    return model, processor

# Load Model on App Start
try:
    with st.spinner("Initializing Gemma Multimodal Model..."):
        model, processor = load_model()
    MODEL_LOADED = True
except Exception as e:
    st.error(f"⚠️ Model Load Error: {e}")
    MODEL_LOADED = False

# -----------------------------------------------------------------------------
# 2. STATE MANAGEMENT
# -----------------------------------------------------------------------------
if 'page' not in st.session_state: st.session_state.page = 'landing'
if 'logged_in' not in st.session_state: st.session_state.logged_in = False
if 'user_email' not in st.session_state: st.session_state.user_email = ""
if 'history' not in st.session_state: st.session_state.history = []
if 'result' not in st.session_state: st.session_state.result = None

# -----------------------------------------------------------------------------
# 3. THE BRAIN (Gemma Logic)
# -----------------------------------------------------------------------------
def get_gemma_insight(input_type, content):
    if not MODEL_LOADED:
        return "Error: Model not loaded."

    try:
        # A. VISION ANALYSIS
        if input_type == "Image":
            text_prompt = "Analyze this medical image and list observations."
            
            # Gemma format input
            inputs = processor(text=text_prompt, images=content, return_tensors="pt")
            
            # Generate
            with torch.no_grad():
                output = model.generate(**inputs, max_new_tokens=200)
            
            return processor.batch_decode(output, skip_special_tokens=True)[0]

        # B. TEXT ANALYSIS
        elif input_type == "Text":
            text_prompt = f"Medical analysis for: {content}"
            
            inputs = processor(text=text_prompt, return_tensors="pt")
            
            with torch.no_grad():
                output = model.generate(**inputs, max_new_tokens=200)
                
            return processor.batch_decode(output, skip_special_tokens=True)[0]

    except Exception as e:
        return f"⚠️ Processing Error: {str(e)}"

# -----------------------------------------------------------------------------
# 4. UI STYLING (Clean Dark Theme)
# -----------------------------------------------------------------------------
st.markdown("""
<style>
    @import url('https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@300;400;600;800&display=swap');
    .stApp {
        background-color: #020617;
        background-image: radial-gradient(circle at 50% 0%, #1e293b 0%, #020617 70%);
        font-family: 'Plus Jakarta Sans', sans-serif; color: #f8fafc;
    }
    .shinui-card {
        background: rgba(30, 41, 59, 0.4); border: 1px solid rgba(148, 163, 184, 0.1);
        border-radius: 16px; padding: 25px; backdrop-filter: blur(12px); margin-bottom: 20px;
    }
    div.stButton > button {
        background: #38bdf8; color: #0f172a; border: none; font-weight: 700;
        padding: 12px 20px; border-radius: 8px; width: 100%; transition: all 0.3s;
    }
    div.stButton > button:hover { background: #ffffff; box-shadow: 0 0 20px rgba(56, 189, 248, 0.5); }
    #MainMenu, footer, header {visibility: hidden;}
</style>
""", unsafe_allow_html=True)

# -----------------------------------------------------------------------------
# 5. NAVIGATION
# -----------------------------------------------------------------------------
def nav_to(page):
    st.session_state.page = page
    st.rerun()

def sign_out():
    st.session_state.logged_in = False
    st.session_state.history = []
    st.session_state.result = None
    st.session_state.user_email = ""
    nav_to('landing')

# -----------------------------------------------------------------------------
# 6. PAGES
# -----------------------------------------------------------------------------

# --- LANDING ---
def show_landing():
    c1, c2 = st.columns([1, 8])
    with c1: st.markdown("### ✨ SHINUI")
    st.markdown("<br><br>", unsafe_allow_html=True)
    
    c1, c2 = st.columns([1.5, 1])
    with c1:
        st.markdown("""
        <h1 style='font-size: 4rem; line-height: 1.1; margin-bottom: 20px;'>
            Medical Intelligence.<br><span style='color:#38bdf8;'>Runs Locally.</span>
        </h1>
        <p style='font-size: 1.2rem; color: #94a3b8; margin-bottom: 40px;'>
            SHINUI runs the specialized Gemma Multimodal model for secure analysis.
        </p>
        """, unsafe_allow_html=True)
        b1, b2 = st.columns([1, 2])
        with b1: 
            if st.button("Sign In"): nav_to('login')
        with b2:
            if st.button("About SHINUI"): nav_to('about')
    
    with c2:
        st.markdown("""
        <div class='shinui-card'>
            <h3>🧬 Gemma Multimodal</h3>
            <p style='color:#94a3b8;'>Vision, Text & Speech capable.</p>
        </div>
        """, unsafe_allow_html=True)

# --- ABOUT ---
def show_about():
    if st.button("← Back Home"): nav_to('landing')
    st.markdown("<br>", unsafe_allow_html=True)
    st.markdown("""
    <div class='shinui-card'>
        <h2 style='color:#38bdf8'>About SHINUI</h2>
        <p style='font-size:1.1rem; line-height:1.6'>
            SHINUI utilizes the <b>AarambhAI Gemma-like Multimodal</b> model. 
            This model is unique because it understands images, text, and speech natively in a single architecture.
        </p>
        <hr style='border-color:#333'>
        <h3>Capabilities</h3>
        <ul>
            <li><b>Visual Diagnostics:</b> Reads medical images.</li>
            <li><b>Clinical Text:</b> Analyzes symptoms and notes.</li>
        </ul>
    </div>
    """, unsafe_allow_html=True)

# --- LOGIN ---
def show_login():
    c1, c2, c3 = st.columns([1,1,1])
    with c2:
        st.markdown("<br><br>", unsafe_allow_html=True)
        st.markdown("<div class='shinui-card' style='text-align:center;'><h2>Member Access</h2></div>", unsafe_allow_html=True)
        email = st.text_input("Email")
        password = st.text_input("Password", type="password")
        if st.button("Authenticate"):
            if email:
                st.session_state.logged_in = True
                st.session_state.user_email = email
                nav_to('dashboard')
        if st.button("Back"): nav_to('landing')

# --- DASHBOARD ---
def show_dashboard():
    with st.sidebar:
        st.markdown(f"### 👤 {st.session_state.user_email}")
        if st.button("About System"): nav_to('about_internal')
        st.markdown("---")
        st.write("HISTORY")
        if st.session_state.history:
            for h in reversed(st.session_state.history):
                st.markdown(f"<div style='font-size:0.8rem; padding:5px; border-left:2px solid #38bdf8; margin-bottom:5px;'>{h[:50]}...</div>", unsafe_allow_html=True)
        else:
            st.caption("No scans yet.")
        st.markdown("---")
        if st.button("Sign Out"): sign_out()

    st.title("Gemma Interface")
    t1, t2 = st.tabs(["📷 Image Scan", "📝 Text Analysis"])

    # TAB 1: IMAGE
    with t1:
        st.markdown("<div class='shinui-card'>", unsafe_allow_html=True)
        img_file = st.file_uploader("Upload Medical Image", type=['png','jpg','jpeg'])
        if img_file and st.button("Analyze Visual"):
            if not MODEL_LOADED:
                st.error("Model failed to load (Check Space Logs).")
            else:
                image = Image.open(img_file)
                st.image(image, width=300)
                with st.spinner("Gemma Processing..."):
                    res = get_gemma_insight("Image", image)
                    st.session_state.result = res
                    st.session_state.history.append(f"Image: {res[:30]}...")
        st.markdown("</div>", unsafe_allow_html=True)

    # TAB 2: TEXT
    with t2:
        st.markdown("<div class='shinui-card'>", unsafe_allow_html=True)
        txt = st.text_area("Clinical Notes / Symptoms")
        if txt and st.button("Analyze Notes"):
            if not MODEL_LOADED:
                st.error("Model failed to load.")
            else:
                with st.spinner("Gemma Processing..."):
                    res = get_gemma_insight("Text", txt)
                    st.session_state.result = res
                    st.session_state.history.append(f"Text: {res[:30]}...")
        st.markdown("</div>", unsafe_allow_html=True)

    if st.session_state.result:
        st.markdown(f"""
        <div class='shinui-card' style='border-left: 5px solid #38bdf8;'>
            <h3 style='margin-top:0; color:#38bdf8;'>Analysis Result</h3>
            <div style='white-space: pre-wrap; color: #e2e8f0; line-height: 1.6;'>{st.session_state.result}</div>
        </div>
        """, unsafe_allow_html=True)

# --- INTERNAL ABOUT ---
def show_about_internal():
    with st.sidebar:
        if st.button("← Back"): nav_to('dashboard')
    st.markdown("""
    <div class='shinui-card'>
        <h2 style='color:#38bdf8'>System Status</h2>
        <p><b>Model:</b> AarambhAI Gemma-like Multimodal</p>
        <p><b>Backend:</b> Local Transformers</p>
    </div>
    """, unsafe_allow_html=True)

# -----------------------------------------------------------------------------
# 7. ROUTER
# -----------------------------------------------------------------------------
if st.session_state.page == 'landing': show_landing()
elif st.session_state.page == 'about': show_about()
elif st.session_state.page == 'login': show_login()
elif st.session_state.page == 'dashboard':
    if st.session_state.logged_in: show_dashboard()
    else: nav_to('login')
elif st.session_state.page == 'about_internal':
    if st.session_state.logged_in: show_about_internal()
    else: nav_to('login')