app.py

import streamlit as st
from hazm import Normalizer, SentenceTokenizer
import os
import docx
from langchain.chat_models import ChatOpenAI
from langchain.schema import SystemMessage, HumanMessage
from rapidfuzz import fuzz
import concurrent.futures
import time
# from sentence_transformers import SentenceTransformer
import numpy as np
from hazm import *
import re
import nltk
nltk.download('punkt')
st.set_page_config(
    page_title="رزم یار", 
    page_icon="⚔️",                     
    layout="wide"                      
)


st.markdown("""
    <style>
        .stAppHeader.st-emotion-cache-12fmjuu.e4hpqof0 {
            background-color: rgba(46,59,46, 0.8) !important;  
            color: #2e3b2e !important; 
            font-family: 'Vazirmatn', Tahoma, sans-serif !important;
            padding: 20px !important;  
            border-radius: 10px !important;  
            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3) !important; 
        }
    </style>
""", unsafe_allow_html=True)
st.markdown("""
    <style>
    @font-face {
        font-family: 'Roboto';
        src: url('https://fonts.googleapis.com/css2?family=Roboto:wght@400;500;700&display=swap') format('woff2');
        font-weight: 400;
        font-style: normal;
    }
    html, body, [class*="css"] {
        font-family: 'Roboto', Tahoma, sans-serif !important;
        font-weight: 400 !important;
        direction: rtl;
        text-align: right;
ظ        color: #ffffff;
    }
    .stApp {
        background: linear-gradient(to left, #4b5e40, #2e3b2e);
        color: #ffffff;
    }
    [data-testid="stSidebar"] {
        width: 260px !important;
        background-color: #1a2b1e;
        border: none !important;
        padding-top: 20px;
    }
    .menu-item {
        display: flex;
        align-items: center;
        gap: 12px;
        padding: 12px 20px;
        font-size: 16px;
        font-weight: 600;
        color: #d4d4d4;
        cursor: pointer;
        transition: background-color 0.3s ease;
    }
    .menu-item:hover {
        background-color: #2e3b2e;
        color: #b8860b;
    }
    .menu-item img {
        width: 25px;
        height: 25px;
    }
    .stButton>button {
        background-color: #b8860b !important;
        color: #1a2b1e !important;
        font-family: 'Roboto', Tahoma, sans-serif;
        font-weight: 700 !important;
        border-radius: 10px;
        padding: 12px 24px;
        border: none;
        transition: all 0.3s ease;
        font-size: 16px;
        width: 100%;
        margin: 10px 0;
    }
    .stButton>button:hover {
        background-color: #8b6508 !important;
        transform: translateY(-2px);
        box-shadow: 0 4px 8px rgba(0,0,0,0.3);
    }
.header-text {
    text-align: center;
    margin: 20px 0;
    background-color: rgba(26, 43, 30, 0.9);
    padding: 25px;
    border-radius: 15px;
    box-shadow: 0 6px 12px rgba(0,0,0,0.4);
    font-family: 'Roboto', Tahoma, sans-serif; /* اضافه شد */
}
    .subtitle {
        font-size: 18px;
        color: #d4d4d4;
        font-weight: 600;
        margin-top: 10px;
    }
    .chat-message {
        flex-wrap: wrap;
        background-color: rgba(26, 43, 30, 0.95);
        border: 2px solid #b8860b;
        border-radius: 15px;
        padding: 20px;
        margin: 15px 0;
        box-shadow: 0 6px 12px rgba(0,0,0,0.3);
        animation: fadeIn 0.6s ease;
        font-size: 18px;
        color: #d4d4d4;
        font-weight: 600;
        display: flex;
        flex-wrap: wrap;
        align-items: center;
        gap: 15px;
    }
    @keyframes fadeIn {
        from { opacity: 0; transform: translateY(10px); }
        to { opacity: 1; transform: translateY(0); }
    }
    .stTextInput>div>input, .stTextArea textarea {
        background-color: rgba(26, 43, 30, 0.95) !important;
        border-radius: 10px !important;
        border: 1px solid #b8860b !important;
        padding: 12px !important;
        font-family: 'Roboto', Tahoma;
        font-weight: 500;
        font-size: 16px;
        color: #d4d4d4 !important;
    }
    hr {
        border: 1px solid #b8860b;
        margin: 15px 0;
    }
    [data-testid="stSidebar"] > div {
        border: none !important;
    }
</style>
""", unsafe_allow_html=True)


if "authenticated" not in st.session_state:
    st.session_state.authenticated = False

if not st.session_state.authenticated:
    st.markdown('<style>.stTextInput > div[data-baseweb="input"] + div, .stTextInput div:has(div[role="alert"]) { display: none !important; }</style>', unsafe_allow_html=True)
    st.markdown("""
    <style>
        input {
            background-color: #2e3b2e;
            color: gold;
            border: 1px solid gold;
            border-radius: 10px;
            padding: 10px;
        }
    </style>
""", unsafe_allow_html=True)
    st.markdown("""
    <style>
        html, body, [class*="css"] {
            font-family: 'Vazir', sans-serif;
        }
        label {
            font-size: 20px !important;
            color: #ffffff !important;  
            font-weight: 800 !important;
            margin-bottom: 10px !important;
            display: block;
        }
        input[type="text"], 
        input[type="password"], 
        input[type="text"]:focus, 
        input[type="password"]:focus, 
        input[type="text"]:hover, 
        input[type="password"]:hover {
            background-color: #ffffff !important;
            color: #000000 !important;  
            font-size: 18px !important;
            font-family: 'Vazir', sans-serif !important;
        }
        /* Placeholder style */
        ::placeholder {
            color: #bbbbbb !important;
            opacity: 0.8 !important;
            font-size: 16px;
        }
    </style>
""", unsafe_allow_html=True)

    username = st.text_input("نام کاربری:", placeholder="شناسه  خود را وارد کنید", 
                            label_visibility="visible")

    password = st.text_input("رمز عبور:", placeholder="رمز عبور ", type="password", 
                         label_visibility="visible")
    st.markdown("""
    <style>
        div.stButton > button {
            background-image: url("https://upload.wikimedia.org/wikipedia/commons/5/59/US_Army_Universal_Camouflage_Pattern.jpg");
            background-size: cover;
            background-repeat: no-repeat;
            background-position: center;
            color: #f5deb3;
            font-family: 'Vazir', sans-serif;
            font-size: 20px;
            font-weight: bold;
            padding: 14px 35px;
            border: 2px solid #d4af37;
            border-radius: 14px;
            box-shadow: 0 0 18px rgba(0,0,0,0.6);
            transition: all 0.3s ease-in-out;
        }
        div.stButton > button:hover {
            filter: brightness(1.2);
            box-shadow: 0 0 22px #b8860b;
            transform: scale(1.03);
        }
        div.stButton > button:active {
            transform: scale(0.97);
            box-shadow: 0 0 12px #000;
        }
    </style>
""", unsafe_allow_html=True)

    if st.button("ورود"):
        if username == "admin" and password == "123":
            st.session_state.authenticated = True
            st.rerun()
        else:
            st.markdown("""
                <div style="background-color: rgba(241, 196, 15, 0.6); color: #2e3b2e; padding: 10px; border-radius: 10px; border: 2px solid #2e3b2e; margin-top: 20px; text-align: center; backdrop-filter: blur(5px);">
                    نام کاربری یا رمز عبور اشتباه است.
                </div>
            """, unsafe_allow_html=True)
    st.stop()

with st.sidebar:
    st.image("log.png", use_container_width=True)

    menu_items = [
        ("گزارش عملیاتی", "https://cdn-icons-png.flaticon.com/512/3596/3596165.png", "https://m17idd-reporting.hf.space"),
        ("تاریخچه ماموریت‌ها", "https://cdn-icons-png.flaticon.com/512/709/709496.png", None),
        ("تحلیل داده‌های نظامی", "https://cdn-icons-png.flaticon.com/512/1828/1828932.png", "https://m17idd-test.hf.space"),
        ("مدیریت منابع", "https://cdn-icons-png.flaticon.com/512/681/681494.png", None),
        ("دستیار فرماندهی", "https://cdn-icons-png.flaticon.com/512/3601/3601646.png", None),
        ("تنظیمات امنیتی", "https://cdn-icons-png.flaticon.com/512/2099/2099058.png", None),
        ("پشتیبانی فنی", "https://cdn-icons-png.flaticon.com/512/597/597177.png", None),
    ]

    st.markdown("""
        <link href="https://cdn.jsdelivr.net/gh/rastikerdar/vazir-font@v30.1.0/dist/font-face.css" rel="stylesheet" type="text/css" />
    """, unsafe_allow_html=True)

    for idx, (text, icon, link) in enumerate(menu_items):
        content = f"""
            <div class="menu-item" style="display: flex; align-items: center; margin-bottom: 10px;">
                <img src="{icon}" width="20" height="20" style="margin-left: 10px;" />
                <span style="color: white; font-family: 'Vazir', sans-serif; font-weight: bold;">{text}</span>
            </div>
        """

        if link:
            content = f'<a href="{link}" target="_blank" style="text-decoration: none;">{content}</a>'

        st.markdown(content, unsafe_allow_html=True)

        if idx in [1, 3, 5]:
            st.markdown("<hr style='border-top: 1px solid #555;'/>", unsafe_allow_html=True)

st.markdown("""
    <style>
        .header-text {
            text-align: center;
            margin: 50px 0;
            background: #2e3b2e; 
            padding: 60px 30px;
            border-radius: 25px;
            box-shadow: 0 12px 24px rgba(0, 0, 0, 0.8); 
            animation: slideIn 2s ease-in-out, fadeIn 3s ease-in-out;
            background-size: cover;
            background-position: center;
            position: relative;
        }
        @keyframes fadeIn {
            0% { opacity: 0; transform: translateY(30px); }
            100% { opacity: 1; transform: translateY(0); }
        }
        @keyframes slideIn {
            0% { transform: translateX(-50%); opacity: 0; }
            100% { transform: translateX(0); opacity: 1; }
        }
        .header-text h1 {
            font-family: 'Vazir', sans-serif;
            font-size: 62px;
            color: #d89b00; 
            margin: 0;
            font-weight: 900;
            letter-spacing: 4px;
            text-shadow: 4px 4px 15px rgba(0, 0, 0, 0.9); 
            transform: scale(1.08); 
            animation: glow 2s ease-in-out infinite alternate;
        }
        .subtitle {
            font-family: 'Vazir', sans-serif;
            font-size: 24px;
            color: #f8f8f8;
            font-weight: 700;
            margin-top: 15px;
            letter-spacing: 2px;
            text-shadow: 3px 3px 10px rgba(0,0,0,0.8); 
            animation: fadeInSubtitle 2s ease-in-out;
        }
        @keyframes fadeInSubtitle {
            0% { opacity: 0; transform: translateY(20px); }
            100% { opacity: 1; transform: translateY(0); }
        }
        .stButton>button {
            background-color: #e67e22 !important; 
            color: #4b5320 !important;
            font-family: 'Vazir', sans-serif;
            font-weight: 700 !important;
            border-radius: 20px;
            padding: 15px 30px;
            border: none;
            transition: all 0.3s ease;
            font-size: 18px;
            width: 100%;
            margin: 20px 0;
            box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
        }
        .stButton>button:hover {
            background-color: #f39c12 !important;
            transform: translateY(-4px);
            box-shadow: 0 8px 20px rgba(0, 0, 0, 0.6);
        }
        .stApp {
            background: #2e3b2e; 
            color: white;
            font-family: 'Vazir', sans-serif;
        }
    </style>
    <div class="header-text">
        <h1>رزم‌‌یار‌ ارتش</h1>
        <div class="subtitle">دستیارهوشمند ارتش جمهوری اسلامی ایران</div>
    </div>
""", unsafe_allow_html=True)

llm = ChatOpenAI(
    base_url="https://api.together.xyz/v1",
    api_key='333ac33f5be91819cb7ade101134d73f5e63d299a964ae290850eeac5d82a8d5',
    model="Qwen/Qwen2-VL-72B-Instruct",

)
# from transformers import pipeline
# hf_api_key = os.getenv("tavana55")


# model_name = "Qwen/Qwen3-0.6B"

# llm = pipeline("text-generation", model=model_name)

st.markdown("""
    <style>
        .st-emotion-cache-128upt6.eht7o1d3 {
            background-color: rgba(46,59,46, 0.8) !important;  
            border-radius: 10px !important;  
            color: #d4d4d4 !important;  
            font-family: 'Vazirmatn', Tahoma, sans-serif !important;
            padding: 15px !important;  
            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3) !important;  
        }
    </style>
""", unsafe_allow_html=True)


st.markdown("""
<style>
    .st-af.st-ah.st-bb.st-ar.st-as.st-ax.st-ay.st-az.st-b0.st-b1.st-b2.st-bc.st-b7 {
        background-color: #3a5338 !important;
        color: #d4d4d4 !important;
        border: 1px solid #c8a200 !important;
        border-radius: 10px;
        padding: 15px;
    }
</style>
""", unsafe_allow_html=True)

st.markdown("""
    <style>
        .st-emotion-cache-yd4u6l.e1togvvn1 {
            background-color: rgba(106, 127, 83, 0.8) !important; 
            border-radius: 10px !important;  
            color: #d4d4d4 !important; 
            font-family: 'Vazirmatn', Tahoma, sans-serif !important;
            padding: 15px !important;  
            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3) !important;  
        }
    </style>
""", unsafe_allow_html=True)
st.markdown("""
    <style>
        .stAppHeader.st-emotion-cache-12fmjuu.e4hpqof0 {
            background-color: rgba(42, 55, 39, 0.9) !important; 
            color: #d4d4d4 !important;  
            font-family: 'Vazirmatn', Tahoma, sans-serif !important;
            padding: 20px !important;  
            border-radius: 10px !important; 
            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3) !important;  
        }
    </style>
""", unsafe_allow_html=True)

st.markdown("""
<style>
textarea::placeholder {
    color: #ffffff !important; 
    opacity: 1 !important; 
}
textarea {
    color: #ffffff !important; 
    border-radius: 10px !important;
    padding: 10px !important;
}
</style>
""", unsafe_allow_html=True)


st.markdown("""
    <style>
    .thinking-message {
        display: flex;
        align-items: center;
        font-size: 18px;
        color: #ffffff;
    }
    .thinking-message p {
        margin-right: 10px;
    }
    .spinner {
        border: 4px solid #f3f3f3;
        border-top: 4px solid #4b6d3d; 
        border-radius: 50%;
        width: 20px;
        height: 20px;
        animation: spin 2s linear infinite;
    }
    @keyframes spin {
        0% { transform: rotate(0deg); }
        100% { transform: rotate(360deg); }
    }
    </style>
""", unsafe_allow_html=True)

import json
import requests
import streamlit as st
import numpy as np
from langchain.schema import SystemMessage, HumanMessage
from langchain.chat_models import ChatOpenAI
from sklearn.metrics.pairwise import cosine_similarity

EMBEDDING_FILE = "embeddings.json"
EMBEDDING_MODEL = "intfloat/multilingual-e5-large-instruct"
TOGETHER_API_KEY = "333ac33f5be91819cb7ade101134d73f5e63d299a964ae290850eeac5d82a8d5"

@st.cache_data
def load_embeddings(file_path):
    with open(file_path, "r", encoding="utf-8") as f:
        return json.load(f)

def get_query_embedding_together(query):
    url = "https://api.together.xyz/v1/embeddings"
    headers = {
        "Authorization": f"Bearer {TOGETHER_API_KEY}",
        "accept": "application/json",
        "content-type": "application/json"
    }
    payload = {
        "model": EMBEDDING_MODEL,
        "input": query
    }
    response = requests.post(url, headers=headers, json=payload)
    response.raise_for_status()
    return response.json()["data"][0]["embedding"]

def find_most_similar_chunks(query_embedding, data, top_n=3):
    query_vec = np.array(query_embedding).reshape(1, -1)
    similarities = []
    for item in data:
        chunk_vec = np.array(item["embedding"]).reshape(1, -1)
        sim = cosine_similarity(query_vec, chunk_vec)[0][0]
        similarities.append((item["chunk"], sim))
    similarities.sort(key=lambda x: x[1], reverse=True)
    return [chunk for chunk, _ in similarities[:top_n]]

def clean_text(text):
    import re
    return re.sub(r'[^آ-یa-zA-Z0-9۰-۹,.،؟!؛\s]+', '', text)


query = st.text_input("سؤال خود را وارد کنید:")

if "chat_history" not in st.session_state:
    st.session_state.chat_history = []

if query:
    thinking = st.empty()
    thinking.markdown("⏳ در حال پردازش...")

    try:
        query_embedding = get_query_embedding_together(query)
        data = load_embeddings(EMBEDDING_FILE)
        top_chunks = find_most_similar_chunks(query_embedding, data, top_n=3)

        context = "\n".join(top_chunks)
        prompt = f"""
        فقط و فقط با استفاده از محتوای زیر به سؤال پاسخ بده.  
        اگر اطلاعات کافی نبود، واضح بگو اطلاعات کافی وجود ندارد، سپس با دانش عمومی پاسخ بده.

        سؤال:
        {query}

        محتوا:
        {context}

        پاسخ نهایی:
        """

        response = llm([
            SystemMessage(
                content="تو یک دستیار دقیق هستی که فقط با اطلاعات موجود در متن پاسخ می‌دهی. اگر اطلاعات نبود، آن را اعلام می‌کنی و بعد از دانش خودت استفاده می‌کنی."
            ),
            HumanMessage(content=prompt)
        ])
        final_answer = clean_text(response.content.strip())

    except Exception as e:
        final_answer = f"❗ خطا: {str(e)}"

    thinking.empty()

    st.session_state.chat_history.append(("🧑", query))
    st.session_state.chat_history.append(("🤖", final_answer))

# نمایش چت
st.markdown("---")
for sender, message in st.session_state.chat_history:
    st.markdown(f'<div style="direction:rtl;text-align:right;padding:10px;border-radius:10px;background-color:#0d4d31;color:white;"><strong>{sender}</strong>: {message}</div>', unsafe_allow_html=True)