Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import base64
+from PIL import Image
+import io
+import json
+
+def process(json_input):
+    try:
+        data = json.loads(json_input)
+
+        # Decode Base64
+        img_bytes = base64.b64decode(data["image_b64"])
+        img = Image.open(io.BytesIO(img_bytes))
+
+        # You can do CV/LLM here later
+        response = {
+            "received": True,
+            "robot_id": data.get("robot_id", "unknown"),
+            "image_size": img.size
+        }
+
+        return json.dumps(response)
+
+    except Exception as e:
+        return json.dumps({"error": str(e)})
+
+# Gradio interface
+demo = gr.Interface(
+    fn=process,
+    inputs=gr.Textbox(lines=10, label="Input JSON from Jetson"),
+    outputs=gr.Textbox(lines=10, label="Reply to Jetson"),
+)
+
+demo.launch()