Create gradi

gradi

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+# -*- coding: utf-8 -*-
+"""
+Created on Wed Apr 17 21:57:52 2024
+
+@author: admin
+"""
+
+import gradio as gr  
+import tensorflow as tf
+import numpy as np
+
+# 加载 TensorFlow 模型
+model_path = 'model/model_CNN'
+loaded_model = tf.saved_model.load(model_path)
+model_predict = loaded_model.signatures['serving_default']
+# 假设我们有一个处理这些输入的函数  
+def process_inputs(AMT, t, BSA, BW, age, height):  
+    # 在这里执行您的逻辑，比如模型预测、计算等  
+    input_features = np.array([[AMT, t, BSA, BW, age, height]], dtype=float).reshape(-1, 6, 1)
+    predictions = model_predict(tf.constant(input_features, dtype=tf.float32))['dense_5'].numpy()
+    return predictions 
+  
+# 创建Gradio界面  
+description = "Enter values for AMT, t, BSA, BW, age, and height."  
+interface = gr.Interface(  
+    fn=process_inputs,  
+    inputs=[  
+        gr.Number(label="AMT"),  
+        gr.Number(label="t"),  
+        gr.Number(label="BSA"),  
+        gr.Number(label="BW"),  
+        gr.Number(label="Age"),  
+        gr.Number(label="Height")  
+    ],  
+    outputs="text",  
+    description=description,  
+    title="Input Processing Interface"  
+)  
+  
+interface.launch()