Update app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+model_yolu = "buketyeter/blood_cell_project" 
+
+pipe = pipeline("image-classification", model=model_yolu)
+
+def tahmin_et(resim):
+    sonuclar = pipe(resim)
+    return {sonuc['label']: sonuc['score'] for sonuc in sonuclar}
+
+# Arayüz Tasarımı
+arayuz = gr.Interface(
+    fn=tahmin_et,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=3),
+    title="AI Blood Cell Analysis System",
+    description="""
+    This application is an automated blood cell classification system powered by a fine-tuned **SwinV2 Transformer** architecture.
+    Please upload a microscopic blood cell image to analyze and identify its type.
+    """,
+    theme="default"
+)
+
+arayuz.launch()