Add application file

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+import numpy as np
+import pandas as pd
+from PIL import Image, ImageEnhance
+
+# 伪造的算法函数，请替换成你自己的模型
+def enhance_image(img):
+    enhancer = ImageEnhance.Contrast(img)
+    enhanced = enhancer.enhance(1.5)
+    return enhanced
+
+def diagnose(img):
+    # 假数据
+    stats = pd.DataFrame({
+        "指标": ["增龄斑", "黄斑变性"],
+        "结果": ["正常", "异常"],
+        "概率": [0.85, 0.15]
+    })
+    return img, stats
+
+def analyze_structure(img):
+    # 假数据
+    stats = pd.DataFrame({
+        "结构": ["血管密度", "分形维数"],
+        "数值": [4.12, 1.53]
+    })
+    return img, stats
+
+with gr.Blocks(title="AI眼底影像辅助分析系统") as demo:
+    gr.Markdown("## AI眼底影像辅助分析系统")
+    with gr.Row():
+        # 图像增强模块
+        with gr.Column():
+            gr.Markdown("### 图像增强模块")
+            input_img = gr.Image(label="原始图片", type="pil")
+            enhanced_img = gr.Image(label="增强图片")
+            enhance_btn = gr.Button("增强图片")
+            enhance_btn.click(enhance_image, inputs=input_img, outputs=enhanced_img)
+
+    with gr.Row():
+        # 疾病诊断模块
+        with gr.Column():
+            gr.Markdown("### 疾病诊断模块")
+            diag_img = gr.Image(label="诊断结果图片")
+            diag_table = gr.Dataframe(headers=["指标", "结果", "概率"])
+            diag_btn = gr.Button("疾病诊断")
+            diag_btn.click(diagnose, inputs=input_img, outputs=[diag_img, diag_table])
+
+        # 结构分析模块
+        with gr.Column():
+            gr.Markdown("### 结构分析模块")
+            struct_img = gr.Image(label="结构分析图片")
+            struct_table = gr.Dataframe(headers=["结构", "数值"])
+            struct_btn = gr.Button("结构分析")
+            struct_btn.click(analyze_structure, inputs=input_img, outputs=[struct_img, struct_table])
+
+demo.launch()