Update app.py

app.py

@@ -1,3 +1,4 @@
+ Gerekli kütüphaneleri içe aktar
 import nltk
 from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize
@@ -6,25 +7,27 @@ import stylecloud
 from PIL import Image
 import matplotlib.pyplot as plt
 import streamlit as st
-import tempfile
 import os
-os.environ['NLTK_DATA'] = '/path/to/nltk_data'
-from nltk.corpus import stopwords
 
 # NLTK kütüphanesinden gerekli bileşenleri indir
 nltk.download('stopwords')
 nltk.download('punkt')
 
-def preprocess_and_create_stylecloud(text, language, icon):
+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(language))
+    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=language)
+    tokens = word_tokenize(text.lower(), language=lang)
 
     # Stopwords'ü filtrele
     filtered_tokens = [word for word in tokens if word not in stop_words]
@@ -33,11 +36,24 @@ def preprocess_and_create_stylecloud(text, language, icon):
     processed_text = ' '.join(filtered_tokens)
 
     # StyleCloud oluştur
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
-        stylecloud.gen_stylecloud(text=processed_text,
-                                  icon_name=icon,
-                                  output_name=temp_file.name)
-        return temp_file.name
+    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")
 
@@ -76,12 +92,11 @@ if file is not None:
     icon = [icon for icon, label in icon_options if label == icon_selection][0]
     
     if st.button("Create"):
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
-            output_file = preprocess_and_create_stylecloud(text, language, icon)
-            st.download_button(
-                label="Download WordCloud",
-                data=open(output_file, "rb").read(),
-                file_name="wordcloud.png",
-                mime="image/png",
-            )
-            st.image(output_file, caption='WordCloud', use_column_width=True)
+        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)
+        # Ensure the file is deleted after display
+        if os.path.exists(output_file):
+            os.remove(output_file)