freddyaboulton HF Staff commited on
Commit
426ad4b
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1 Parent(s): 0d1b14b

Upload folder using huggingface_hub

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Files changed (3) hide show
  1. README.md +1 -1
  2. run.ipynb +1 -1
  3. run.py +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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- sdk_version: 5.49.1
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
 
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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+ sdk_version: 6.0.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
run.ipynb CHANGED
@@ -1 +1 @@
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- {"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}
 
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+ {"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\", api_name=\"predict\").launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -10,4 +10,4 @@ def predict(text, request: gr.Request):
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  "headers": headers,
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  }
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- gr.Interface(predict, "text", "json").launch()
 
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  "headers": headers,
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  }
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+ gr.Interface(predict, "text", "json", api_name="predict").launch()