yunuseduran commited on
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1 Parent(s): 45e781c

Update app.py

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  1. app.py +98 -97
app.py CHANGED
@@ -1,97 +1,98 @@
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- # Gerekli kütüphaneleri içe aktar
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- import nltk
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- from nltk.corpus import stopwords
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- from nltk.tokenize import word_tokenize
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- import string
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- import stylecloud
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- from PIL import Image
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- import matplotlib.pyplot as plt
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- import streamlit as st
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-
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- # NLTK kütüphanesinden gerekli bileşenleri indir
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- nltk.download('stopwords')
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- nltk.download('punkt')
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-
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- def preprocess_and_create_stylecloud(file_path, output_name='stylecloud.png',
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- icon_name='fas fa-laptop', lang='english'):
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- # Metni dosyadan oku
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- with open(file_path, 'r', encoding='utf-8') as f:
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- text = f.read()
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-
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- # Dil için stopwords listesini yükle
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- stop_words = set(stopwords.words(lang))
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-
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- # Noktalama işaretlerini kaldır
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- translator = str.maketrans('', '', string.punctuation)
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- text = text.translate(translator)
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-
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- # Metni tokenlere ayır ve küçük harfe çevir
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- tokens = word_tokenize(text.lower(), language=lang)
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-
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- # Stopwords'ü filtrele
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- filtered_tokens = [word for word in tokens if word not in stop_words]
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-
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- # Filtrelenmiş tokenleri birleştir
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- processed_text = ' '.join(filtered_tokens)
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-
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- # StyleCloud oluştur
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- stylecloud.gen_stylecloud(text=processed_text,
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- icon_name=icon_name,
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- output_name=output_name)
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- # Oluşturulan StyleCloud'u göster
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- im = Image.open(output_name)
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- plt.figure(figsize=(10, 10))
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- plt.imshow(im)
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- plt.axis('off') # Eksenleri gizle
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- plt.show()
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-
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- def create_stylecloud(text, language, icon):
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- output_file = "stylecloud.png"
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-
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- stylecloud.gen_stylecloud(text=text,
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- icon_name=icon,
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- output_name=output_file)
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-
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- return output_file
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-
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- st.title("WordCloud Creator")
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-
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- file = st.file_uploader("Import txt file", type=["txt"])
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-
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- if file is not None:
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- text = file.getvalue().decode("utf-8")
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-
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- language = st.radio("Language", ["tr", "en"])
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-
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- icon_options = [
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- ("fas fa-car", "Araba"),
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- ("fas fa-star", "Yıldız"),
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- ("fas fa-trophy", "Kupa"),
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- ("fas fa-heart", "Kalp"),
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- ("fas fa-wifi", "WiFi"),
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- ("fas fa-laptop", "Dizüstü Bilgisayar"),
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- ("fas fa-coffee", "Kahve"),
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- ("fas fa-radio", "Radyo"),
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- ("fas fa-snowflake", "Kar Tanesi"),
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- ("fas fa-apple-alt", "Elma"),
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- ("fas fa-bell", "Zil"),
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- ("fas fa-bicycle", "Bisiklet"),
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- ("fas fa-bolt", "Yıldırım"),
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- ("fas fa-book", "Kitap"),
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- ("fas fa-bug", "Böcek"),
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- ("fas fa-camera", "Kamera"),
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- ("fas fa-crown", "Taç"),
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- ("fas fa-futbol", "Futbol"),
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- ("fas fa-gift", "Hediye")
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- ]
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-
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- icon_labels = [label for _, label in icon_options]
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- icon_selection = st.selectbox("İkon Seçimi", icon_labels, index=1)
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- icon = [icon for icon, label in icon_options if label == icon_selection][0]
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-
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- if st.button("Create"):
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- output_file = create_stylecloud(text, language, icon)
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- st.markdown(f"### [Download WordCloud](./{output_file})")
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-
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- image = Image.open(output_file)
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- st.image(image, caption='WordCloud', use_column_width=True)
 
 
1
+ # Gerekli kütüphaneleri içe aktar
2
+ import nltk
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+ from nltk.corpus import stopwords
4
+ from nltk.tokenize import word_tokenize
5
+ import string
6
+ import stylecloud
7
+ from PIL import Image
8
+ import matplotlib.pyplot as plt
9
+ import streamlit as st
10
+
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+ # NLTK kütüphanesinden gerekli bileşenleri indir
12
+ nltk.download('stopwords')
13
+ nltk.download('punkt')
14
+
15
+ def preprocess_and_create_stylecloud(file_path, output_name='stylecloud.png',
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+ icon_name='fas fa-laptop', lang='english'):
17
+ # Metni dosyadan oku
18
+ with open(file_path, 'r', encoding='utf-8') as f:
19
+ text = f.read()
20
+
21
+ # Dil için stopwords listesini yükle
22
+ stop_words = set(stopwords.words(lang))
23
+
24
+ # Noktalama işaretlerini kaldır
25
+ translator = str.maketrans('', '', string.punctuation)
26
+ text = text.translate(translator)
27
+
28
+ # Metni tokenlere ayır ve küçük harfe çevir
29
+ tokens = word_tokenize(text.lower(), language=lang)
30
+
31
+ # Stopwords'ü filtrele
32
+ filtered_tokens = [word for word in tokens if word not in stop_words]
33
+
34
+ # Filtrelenmiş tokenleri birleştir
35
+ processed_text = ' '.join(filtered_tokens)
36
+
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+ # StyleCloud oluştur
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+ stylecloud.gen_stylecloud(text=processed_text,
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+ icon_name=icon_name,
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+ output_name=output_name)
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+ # Oluşturulan StyleCloud'u göster
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+ im = Image.open(output_name)
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+ plt.figure(figsize=(10, 10))
44
+ plt.imshow(im)
45
+ plt.axis('off') # Eksenleri gizle
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+ plt.show()
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+
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+ def create_stylecloud(text, language, icon):
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+ output_file = "stylecloud.png"
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+
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+ stylecloud.gen_stylecloud(text=text,
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+ icon_name=icon,
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+ output_name=output_file)
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+
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+ return output_file
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+
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+ st.title("WordCloud Creator")
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+
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+ file = st.file_uploader("Import txt file", type=["txt"])
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+
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+ if file is not None:
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+ text = file.getvalue().decode("utf-8")
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+
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+ language = st.radio("Language", ["tr", "en"])
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+
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+ icon_options = [
67
+ ("fas fa-car", "Araba"),
68
+ ("fas fa-star", "Yıldız"),
69
+ ("fas fa-trophy", "Kupa"),
70
+ ("fas fa-heart", "Kalp"),
71
+ ("fas fa-wifi", "WiFi"),
72
+ ("fas fa-laptop", "Dizüstü Bilgisayar"),
73
+ ("fas fa-coffee", "Kahve"),
74
+ ("fas fa-radio", "Radyo"),
75
+ ("fas fa-snowflake", "Kar Tanesi"),
76
+ ("fas fa-apple-alt", "Elma"),
77
+ ("fas fa-bell", "Zil"),
78
+ ("fas fa-bicycle", "Bisiklet"),
79
+ ("fas fa-bolt", "Yıldırım"),
80
+ ("fas fa-book", "Kitap"),
81
+ ("fas fa-bug", "Böcek"),
82
+ ("fas fa-camera", "Kamera"),
83
+ ("fas fa-crown", "Taç"),
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+ ("fas fa-futbol", "Futbol"),
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+ ("fas fa-gift", "Hediye"),
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+ ("fas fa-star-and-crescent", "Ay Yıldız")
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+ ]
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+
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+ icon_labels = [label for _, label in icon_options]
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+ icon_selection = st.selectbox("İkon Seçimi", icon_labels, index=1)
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+ icon = [icon for icon, label in icon_options if label == icon_selection][0]
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+
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+ if st.button("Create"):
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+ output_file = create_stylecloud(text, language, icon)
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+ st.markdown(f"### [Download WordCloud](./{output_file})")
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+
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+ image = Image.open(output_file)
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+ st.image(image, caption='WordCloud', use_column_width=True)