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app.py

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+from gradio_client import Client, file
+import gradio as gr
+
+client = Client("mariem2024/plantID")
+
+def predict(image):
+    try:
+        result = client.predict(
+            file(image),  # Yüklenen görsel dosyası
+            api_name="/predict"  # mariem2024/plantID içinde "/predict" endpoint'i tanımlı
+        )
+        return result
+    except Exception as e:
+        return f"Hata oluştu: {str(e)}"
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="filepath"),
+    outputs="text",
+    title="Bitki Tanıma",
+    description="Bu arayüz Hugging Face Space üzerinden bitki türünü tahmin eder."
+)
+
+demo.launch()

requirements.txt

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+gradio
+gradio_client
+
+