app.py

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()