Upload app.py

app.py

@@ -0,0 +1,28 @@
+from gradio_client import Client, file
+import gradio as gr
+import os
+HEADERS = {
+    "Authorization": f"Bearer {os.environ['HF_TOKEN']}"
+}
+
+client = Client("mariem2024/plantID")
+
+def predict(image_path):
+    try:
+        result = client.predict(
+            file(image_path),  # Doğru: gradio `filepath` tipini dosya nesnesine dönüştürüyor
+            api_name="/predict"
+        )
+        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()