Delete app.py

app.py

@@ -1,40 +0,0 @@
-from flask import Flask, request, jsonify
-from transformers import pipeline
-from PIL import Image
-import io
-
-# Flask uygulaması
-app = Flask(__name__)
-
-# Hugging Face model pipeline'ı (image classification)
-classifier = pipeline("image-classification", model="umutbozdag/plant-identity")
-
-# API endpoint
-@app.route("/predict", methods=["POST"])
-def predict():
-    if 'file' not in request.files:
-        return jsonify({"error": "No file uploaded"}), 400
-
-    try:
-        # Dosyayı oku ve PIL Image objesine dönüştür
-        image_file = request.files['file']
-        image_bytes = image_file.read()
-        image = Image.open(io.BytesIO(image_bytes)).convert("RGB")
-
-        # Model ile tahmin yap
-        result = classifier(image)
-
-        # En yüksek olasılığa sahip etiketi al
-        top_result = result[0]["label"] if result else "No prediction"
-
-        return jsonify({"label": top_result})
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-
-
-@app.route("/", methods=["GET"])
-def home():
-    return "Bitki Tanıma API - Lumi 🌿"
-
-if __name__ == "__main__" and os.getenv("HF_SPACE") != "1":
-    app.run(host="0.0.0.0", port=7860)