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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Chatbot Feedback
-emoji: 🏃
-colorFrom: green
-colorTo: green
+title: chatbot_feedback 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 5.47.2
-app_file: app.py
+sdk_version: 5.48.0
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-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: chatbot_feedback"]}, {"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 test_liked_loading():\n", "    test_history = [\n", "        {\"role\": \"user\", \"content\": \"test user message\"},\n", "        {\"role\": \"assistant\", \"content\": \"test assistant message\"}\n", "    ]\n", "    # Set feedback_value to [\"Like\"] for the assistant message\n", "    return gr.update(value=test_history, feedback_value=[\"Like\"])\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(\n", "        type=\"messages\",\n", "        resizable=True,\n", "        min_height=500,\n", "        layout=\"bubble\",\n", "    )\n", "    chatbot.like(\n", "        lambda: None,\n", "        inputs=[],\n", "        outputs=None,\n", "    )\n", "    test_btn = gr.Button(\"Test Liked Loading\")\n", "    test_btn.click(test_liked_loading, outputs=[chatbot])\n", "\n", "demo.launch(debug=True)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,26 @@
+import gradio as gr
+
+def test_liked_loading():
+    test_history = [
+        {"role": "user", "content": "test user message"},
+        {"role": "assistant", "content": "test assistant message"}
+    ]
+    # Set feedback_value to ["Like"] for the assistant message
+    return gr.update(value=test_history, feedback_value=["Like"])
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot(
+        type="messages",
+        resizable=True,
+        min_height=500,
+        layout="bubble",
+    )
+    chatbot.like(
+        lambda: None,
+        inputs=[],
+        outputs=None,
+    )
+    test_btn = gr.Button("Test Liked Loading")
+    test_btn.click(test_liked_loading, outputs=[chatbot])
+
+demo.launch(debug=True)