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app.py

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+import gradio as gr
+import matplotlib.pyplot as plt
+from wordcloud import WordCloud
+import tempfile
+import os
+
+def generate_wordcloud(text, file):
+    if file is not None:
+        text = file.decode('utf-8')
+    elif not text:
+        return None
+    
+    wordcloud = WordCloud(width=1600, height=800, background_color='white', 
+                          scale=2, min_font_size=10).generate(text)
+    
+    plt.figure(figsize=(20, 10), dpi=300)
+    plt.imshow(wordcloud, interpolation='bilinear')
+    plt.axis('off')
+    
+    with tempfile.NamedTemporaryFile(delete=False, suffix='.png') as tmp:
+        plt.savefig(tmp.name, format='png', dpi=300, bbox_inches='tight')
+        plt.close()
+        return tmp.name
+
+iface = gr.Interface(
+    fn=generate_wordcloud,
+    inputs=[
+        gr.Textbox(label="Enter text"),
+        gr.File(label="Or upload a text file", type="binary")
+    ],
+    outputs=gr.Image(type="filepath", label="Generated Word Cloud"),
+    title="Word Cloud Generator - Metehan Ayhan",
+    description="Enter text or upload a .txt file to generate a high-quality word cloud."
+)
+
+iface.launch(server_port=7861)

requirements.txt

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+gradio
+matplotlib
+wordcloud