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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl

run.ipynb

@@ -1 +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}
+{"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", "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", "gr.Interface(predict, \"text\", \"json\").launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,6 +1,5 @@
 import gradio as gr
 
-
 def predict(text, request: gr.Request):
     headers = request.headers
     host = request.client.host
@@ -11,5 +10,4 @@ def predict(text, request: gr.Request):
         "headers": headers,
     }
 
-
-gr.Interface(predict, "text", "json").queue().launch()
+gr.Interface(predict, "text", "json").launch()