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Update app.py
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app.py
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@@ -1,6 +1,6 @@
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from fastapi import FastAPI, Query
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from transformers import AutoModelForImageClassification, AutoImageProcessor
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from PIL import Image
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import requests
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from io import BytesIO
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import torch
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@@ -30,9 +30,15 @@ def root():
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@app.post("/classify")
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def classify_image(url: str = Query(..., description="رابط الصورة")):
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try:
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# تحميل الصورة
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response = requests.get(url)
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# تجهيز المدخلات
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inputs = processor(images=image, return_tensors="pt")
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@@ -45,9 +51,11 @@ def classify_image(url: str = Query(..., description="رابط الصورة")):
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return {
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"url": url,
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"predicted_class": model.config.id2label
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"scores": logits.softmax(-1).tolist()
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}
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except Exception as e:
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return {"error": str(e)}
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from fastapi import FastAPI, Query
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from transformers import AutoModelForImageClassification, AutoImageProcessor
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from PIL import Image, UnidentifiedImageError
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import requests
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from io import BytesIO
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import torch
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@app.post("/classify")
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def classify_image(url: str = Query(..., description="رابط الصورة")):
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try:
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# تحميل الصورة مع timeout ومع التحقق
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response = requests.get(url, timeout=10, stream=True)
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response.raise_for_status() # رفع استثناء لو كان الرابط غير صالح
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# قراءة الصورة
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try:
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image = Image.open(BytesIO(response.content)).convert("RGB")
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except UnidentifiedImageError:
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return {"error": "الرابط لا يحتوي على صورة صالحة"}
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# تجهيز المدخلات
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inputs = processor(images=image, return_tensors="pt")
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return {
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"url": url,
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"predicted_class": model.config.id2label.get(predicted_class, "Unknown"),
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"scores": logits.softmax(-1).tolist()
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}
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except requests.exceptions.RequestException as e:
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return {"error": f"تعذر الوصول إلى الرابط: {e}"}
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except Exception as e:
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return {"error": str(e)}
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