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app.py

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+# Gerekli kütüphaneleri içe aktar
+import nltk
+from nltk.corpus import stopwords
+from nltk.tokenize import word_tokenize
+import string
+import stylecloud
+from PIL import Image
+import matplotlib.pyplot as plt
+import streamlit as st
+
+# NLTK kütüphanesinden gerekli bileşenleri indir
+nltk.download('stopwords')
+nltk.download('punkt')
+
+def preprocess_and_create_stylecloud(file_path, output_name='stylecloud.png', 
+                                     icon_name='fas fa-laptop', lang='english'):
+    # Metni dosyadan oku
+    with open(file_path, 'r', encoding='utf-8') as f:
+        text = f.read()
+
+    # Dil için stopwords listesini yükle
+    stop_words = set(stopwords.words(lang))
+
+    # Noktalama işaretlerini kaldır
+    translator = str.maketrans('', '', string.punctuation)
+    text = text.translate(translator)
+
+    # Metni tokenlere ayır ve küçük harfe çevir
+    tokens = word_tokenize(text.lower(), language=lang)
+
+    # Stopwords'ü filtrele
+    filtered_tokens = [word for word in tokens if word not in stop_words]
+
+    # Filtrelenmiş tokenleri birleştir
+    processed_text = ' '.join(filtered_tokens)
+
+    # StyleCloud oluştur
+    stylecloud.gen_stylecloud(text=processed_text,
+                              icon_name=icon_name,
+                              output_name=output_name)
+    # Oluşturulan StyleCloud'u göster
+    im = Image.open(output_name)
+    plt.figure(figsize=(10, 10))
+    plt.imshow(im)
+    plt.axis('off')  # Eksenleri gizle
+    plt.show()
+
+def create_stylecloud(text, language, icon):
+    output_file = "stylecloud.png"
+    
+    stylecloud.gen_stylecloud(text=text,
+                              icon_name=icon,
+                              output_name=output_file)
+    
+    return output_file
+
+st.title("WordCloud Creator")
+
+file = st.file_uploader("Import txt file", type=["txt"])
+
+if file is not None:
+    text = file.getvalue().decode("utf-8")
+    
+    language = st.radio("Language", ["tr", "en"])
+    
+    icon_options = [
+        ("fas fa-car", "Araba"), 
+        ("fas fa-star", "Yıldız"), 
+        ("fas fa-trophy", "Kupa"), 
+        ("fas fa-heart", "Kalp"), 
+        ("fas fa-wifi", "WiFi"), 
+        ("fas fa-laptop", "Dizüstü Bilgisayar"), 
+        ("fas fa-coffee", "Kahve"), 
+        ("fas fa-radio", "Radyo"), 
+        ("fas fa-snowflake", "Kar Tanesi"),
+        ("fas fa-apple-alt", "Elma"),
+        ("fas fa-bell", "Zil"),
+        ("fas fa-bicycle", "Bisiklet"),
+        ("fas fa-bolt", "Yıldırım"),
+        ("fas fa-book", "Kitap"),
+        ("fas fa-bug", "Böcek"),
+        ("fas fa-camera", "Kamera"),
+        ("fas fa-crown", "Taç"),
+        ("fas fa-futbol", "Futbol"),
+        ("fas fa-gift", "Hediye")
+    ]
+    
+    icon_labels = [label for _, label in icon_options]
+    icon_selection = st.selectbox("İkon Seçimi", icon_labels, index=1)
+    icon = [icon for icon, label in icon_options if label == icon_selection][0]
+    
+    if st.button("Create"):
+        output_file = create_stylecloud(text, language, icon)
+        st.markdown(f"### [Download WordCloud](./{output_file})")
+
+        image = Image.open(output_file)
+        st.image(image, caption='WordCloud', use_column_width=True)

requirements.txt

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+pandas
+plotly
+streamlit
+yfinance
+pandas-datareader
+prophet
+nltk
+stylecloud
+pillow==9.4
+Image