Update README.md

README.md

@@ -1,12 +1,63 @@
----
-title: Carpanagaci
-emoji: 🐠
-colorFrom: gray
-colorTo: gray
-sdk: gradio
-sdk_version: 5.22.0
-app_file: app.py
-pinned: false
----
+import gradio as gr
+import matplotlib.pyplot as plt
+import networkx as nx
+import math
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+def draw_factorization(number):
+    try:
+        number = int(number)
+        if number <= 0:
+            return None, "Pozitif tam sayı giriniz"
+        
+        # Basit çarpan bulma
+        def get_factors(n):
+            factors = []
+            while n % 2 == 0:
+                factors.append(2)
+                n = n // 2
+            for i in range(3, int(math.sqrt(n))+1, 2):
+                while n % i == 0:
+                    factors.append(i)
+                    n = n // i
+            if n > 2:
+                factors.append(n)
+            return factors
+        
+        factors = get_factors(number)
+        
+        # Graf oluştur
+        G = nx.Graph()
+        G.add_node(number, pos=(0,0))
+        
+        angle = 0
+        angle_step = 360/len(factors)
+        radius = 1
+        
+        for i, factor in enumerate(factors):
+            x = radius * math.cos(math.radians(angle))
+            y = radius * math.sin(math.radians(angle))
+            G.add_node(f"{factor}_{i}", pos=(x,y))
+            G.add_edge(number, f"{factor}_{i}")
+            angle += angle_step
+        
+        pos = nx.get_node_attributes(G, 'pos')
+        plt.figure(figsize=(6,6))
+        nx.draw(G, pos, with_labels=True, node_size=1000, node_color="skyblue")
+        plt.savefig("factors.png", bbox_inches='tight')
+        plt.close()
+        
+        return "factors.png", f"Çarpanlar: {factors}"
+    
+    except:
+        return None, "Geçersiz giriş"
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Çarpan Ağacı Görselleştirme")
+    inp = gr.Number(label="Sayı", value=36)
+    btn = gr.Button("Oluştur")
+    out_img = gr.Image(label="Çarpan Ağacı")
+    out_text = gr.Textbox(label="Sonuç")
+    
+    btn.click(draw_factorization, inputs=inp, outputs=[out_img, out_text])
+
+demo.launch()