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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Request Ip Headers
-emoji: 🐠
-colorFrom: purple
-colorTo: gray
+title: request_ip_headers 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 3.21.0
-app_file: app.py
+sdk_version: 3.22.0
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: request_ip_headers"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "\n", "def predict(text, request: gr.Request):\n", "    headers = request.headers\n", "    host = request.client.host\n", "    user_agent = request.headers[\"user-agent\"]\n", "    return {\n", "        \"ip\": host,\n", "        \"user_agent\": user_agent,\n", "        \"headers\": headers,\n", "    }\n", "\n", "\n", "gr.Interface(predict, \"text\", \"json\").queue().launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,15 @@
+import gradio as gr
+
+
+def predict(text, request: gr.Request):
+    headers = request.headers
+    host = request.client.host
+    user_agent = request.headers["user-agent"]
+    return {
+        "ip": host,
+        "user_agent": user_agent,
+        "headers": headers,
+    }
+
+
+gr.Interface(predict, "text", "json").queue().launch()