Upload app.py

app.py

@@ -9,6 +9,8 @@ import json
 import gradio as gr
 from huggingface_hub import hf_hub_download
 import onnxruntime as rt
+import requests
+
 
 modele = hf_hub_download(repo_id="onnx/EfficientNet-Lite4", filename="efficientnet-lite4-11.onnx")
 # load the labels text file
@@ -57,6 +59,19 @@ def inference(img):
   img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
   
   img = pre_process_edgetpu(img, (224, 224, 3))
+
+
+
+# Задаем параметры запроса
+  url = 'https://example.com/upload'
+  headers = {'Content-Type': 'image/jpeg'}
+  data = {'image': img}
+
+# Отправляем запрос
+  response = requests.post(url, headers=headers, data=data)
+
+# Выводим ответ сервера
+  print(response.text)
   
   img_batch = np.expand_dims(img, axis=0)