app.py

import re
import numpy as np
import matplotlib.pyplot as plt
from io import BytesIO
import streamlit as st
import os

# Dil Seçimi
language = st.selectbox("Select Language / اختر اللغة / Seçiniz", ["Türkçe", "English", "عربي"])

# Dil Desteği İçin Metinler
if language == "Türkçe":
    title_text = "Not Analyzer Streamlit Uygulaması"
    subheader_text = "Uygulamanın Çalışma Prensibi"
    error_message = "Lütfen bir dosya yükleyin!" if input_method == "Dosya Yükle" else "Lütfen notları metin kutusuna yapıştırın!"
    participant_text = "Katilimci Sayısı"
    min_text = "En Düşük Not"
    max_text = "En Yüksek Not"
    avg_text = "Ortalama Not"
    std_dev_text = "Standart Sapma"
    z_score_text = "Z-Skoru"
    download_text = "Grafiği İndir"
    info_text_header = "Genel Bilgiler"
    chart_title = "{lecture_name} Not Sayıları Grafiği"
    xlabel = "Notlar"
    ylabel = "Adet"

elif language == "English":
    title_text = "Note Analyzer Streamlit Application"
    subheader_text = "How the Application Works"
    error_message = "Please upload a file!" if input_method == "Upload File" else "Please paste the notes in the text box!"
    participant_text = "Number of Participants"
    min_text = "Lowest Grade"
    max_text = "Highest Grade"
    avg_text = "Average Grade"
    std_dev_text = "Standard Deviation"
    z_score_text = "Z-Score"
    download_text = "Download Graph"
    info_text_header = "General Information"
    chart_title = "{lecture_name} Grade Distribution Graph"
    xlabel = "Grades"
    ylabel = "Count"

else:  # Arabic
    title_text = "تطبيق تحليل الدرجات"
    subheader_text = "مبدأ عمل التطبيق"
    error_message = "من فضلك حمّل ملفًا!" if input_method == "تحميل الملف" else "من فضلك الصق الملاحظات في مربع النص!"
    participant_text = "عدد المشاركين"
    min_text = "أدنى درجة"
    max_text = "أعلى درجة"
    avg_text = "متوسط الدرجة"
    std_dev_text = "الانحراف المعياري"
    z_score_text = "الدرجة Z"
    download_text = "تنزيل الرسم البياني"
    info_text_header = "المعلومات العامة"
    chart_title = "{lecture_name} الرسم البياني لتوزيع الدرجات"
    xlabel = "الدرجات"
    ylabel = "العدد"

# Resim Dosya Yolları
image_folder = language.lower()  # dilin ismini küçük harf ile alıyoruz (örn: "english", "arabic", "turkish")
image_files = [f"{image_folder}/{ch}.png" for ch in ['a', 'b', 'c', 'd', 'e', 'f', 'g']] 

# Başlık
st.title(title_text)

# Açıklama Resimleri
st.subheader(subheader_text)

# Resimleri alt alta ekle
for image_file in image_files:
    if os.path.exists(image_file):
        st.image(image_file, use_container_width=True)  # Yeni parametre kullanıldı

# Kullanıcıdan veri alma (Sidebar sabit kalıyor)
st.sidebar.header("Girdi Alanları")

# Dosya yükleme veya metin girişi seçimi
input_method = st.sidebar.radio("Notları nasıl gireceksiniz?", options=["Dosya Yükle", "Kopyala-Yapıştır"])

uploaded_file = None
text_input = None

if input_method == "Dosya Yükle":
    uploaded_file = st.sidebar.file_uploader("Notlar Dosyasını Yükleyin (TXT)", type=["txt"])
elif input_method == "Kopyala-Yapıştır":
    text_input = st.sidebar.text_area("Notları Yapıştırın", height=200)

# Diğer parametreler
lecture_name = st.sidebar.text_input("Ders Adı", value="Ders Adı")
perfect_score = st.sidebar.number_input("Sınav Puanı Üst Limiti", value=100, step=1)
my_note = st.sidebar.number_input("Benim Notum", value=0.0, step=0.1)
note_s_axis_diff = st.sidebar.number_input("Notlar X Ekseni Ortak Farkı", value=5, step=1)
amount_s_axis_diff = st.sidebar.number_input("Miktar Y Ekseni Ortak Farkı", value=1, step=1)
first_step = st.sidebar.number_input("İlk Adım", value=0, step=1)
increase_amount = st.sidebar.number_input("Artış Miktarı", value=1, step=1)

if st.sidebar.button("Analizi Çalıştır"):
    if input_method == "Dosya Yükle" and uploaded_file is None:
        st.error(error_message)
    elif input_method == "Kopyala-Yapıştır" and not text_input:
        st.error(error_message)
    else:
        try:
            if uploaded_file:
                content = uploaded_file.read().decode("utf-8")
            elif text_input:
                content = text_input

            # Veriyi işleme
            result = re.split(r'[ \n]+', content)
            notes_result = result[first_step::increase_amount]
            notes_result = [x.strip() for x in notes_result if x.strip() != '∅' and x.strip() != "NA"]
            notes_result = list(map(lambda x: float(x), notes_result))
            notes_result = np.array(notes_result)

            # İstatistikler
            average_x = np.average(notes_result)
            min_x = notes_result.min()
            max_x = notes_result.max()
            std = np.std(notes_result)
            z_score = (my_note - average_x) / std

            st.subheader(info_text_header)
            st.write(f"{participant_text}: {len(notes_result)}")
            st.write(f"{min_text}: {min_x:.2f}")
            st.write(f"{max_text}: {max_x:.2f}")
            st.write(f"{avg_text}: {average_x:.2f}")
            st.write(f"{std_dev_text}: {std:.2f}")
            st.write(f"{z_score_text}: {z_score:.2f}")

            # Grafik oluşturma
            unique_values, counts = np.unique(notes_result, return_counts=True)
            fig, ax = plt.subplots(figsize=(10, 6))  # Grafik boyutunu ayarlıyoruz

            bars = ax.bar(unique_values, counts, width=0.3)
            ax.axvline(x=average_x, color='red', linestyle='--')
            ax.text(average_x + 1.5, max(counts), f'{avg_text} ', color='red', rotation=0, ha='center', va='bottom')

            if my_note in unique_values:
                ax.text(my_note, counts[unique_values == my_note][0], f'{my_note}\n{z_score_text}', color='green', rotation=0, ha='center', va='bottom')

            for bar in bars:
                if bar.get_x() <= my_note < bar.get_x() + bar.get_width():
                    bar.set_color('green')

            ax.set_title(f'{lecture_name} {chart_title}')
            ax.set_xlabel(xlabel)
            ax.set_ylabel(ylabel)
            ax.set_xticks(range(0, int(perfect_score), note_s_axis_diff))
            ax.set_yticks(range(0, max(counts), amount_s_axis_diff))

            info_text = (
                f"{participant_text}: {len(notes_result)}\n"
                f"{min_text}: {min_x:.2f}\n"
                f"{max_text}: {max_x:.2f}\n"
                f"{my_note} {avg_text}: {average_x:.2f}\n"
                f"{std_dev_text}: {std:.2f}\n"
                f"{z_score_text}: {z_score:.2f}"
            )
            ax.text(
                1.05 * max(unique_values), 0.8 * max(counts),
                info_text,
                fontsize=10,
                color="black",
                ha="left",
                va="top",
                bbox=dict(boxstyle="round,pad=0.3", edgecolor="blue", facecolor="lightgrey")
            )

            # Grafik indirme bağlantısı
            buf = BytesIO()
            plt.savefig(buf, format="png")
            buf.seek(0)

            st.download_button(
                label=download_text,
                data=buf,
                file_name="not_dagilimi.png",
                mime="image/png"
            )

        except Exception as e:
            st.error(f"Hata: {e}")