add code

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+def parse_bin_to_image(file, width, height, channels):
+    # 读取二进制数据
+    with open(file.name, 'rb') as f:
+        data = np.frombuffer(f.read(), dtype=np.float32)
+
+    expected_size = width * height * channels
+    if data.size != expected_size:
+        return f"❌ 文件大小不匹配：预期 {expected_size} float32，实际为 {data.size}"
+
+    # 重塑形状
+
+    img = data.reshape((height, width, channels))  # (H, W, C)
+    img = np.sum(img[...,:-2],axis=2)
+    return img
+
+demo = gr.Interface(
+    fn=parse_bin_to_image,
+    inputs=[
+        gr.File(label="上传 .bin 文件", file_types=[".bin"]),
+        gr.Number(value=240, label="图像宽度 (W)"),
+        gr.Number(value=96, label="图像高度 (H)"),
+        gr.Number(value=256, label="通道数 (C, 1=灰度, 3=RGB)")
+    ],
+    outputs=gr.Image(type="numpy", label="可视化图像")
+)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()