Update run.ipynb

run.ipynb

@@ -12,12 +12,37 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 7,
+      "execution_count": 1,
       "id": 2.7299665331067346e+38,
       "metadata": {
-        "id": 2.7299665331067346e+38
+        "id": 2.7299665331067346e+38,
+        "outputId": "dbc6fb4c-e5fc-4543-eb6b-9d55904fe999",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
       },
-      "outputs": [],
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m62.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.3/66.3 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.8/298.8 kB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.7/75.7 kB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m36.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.7/138.7 kB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.5/59.5 kB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m9.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.0/76.0 kB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+          ]
+        }
+      ],
       "source": [
         "!pip install -q gradio"
       ]
@@ -30,19 +55,30 @@
         "def greet(name):\n",
         "    return \"Hello \" + name + \"!!\"\n",
         "\n",
-        "iface = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n",
+        "iface = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\",\n",
+        "    examples=[\n",
+        "        [\"Hello \" + \"!!\"],\n",
+        "        [ \"Hello Antonio!!\"],\n",
+        "        [ \"Hello Pedro!!\"],\n",
+        "        [ \"Hello 568Ant!!\"],\n",
+        "    ],\n",
+        "    title=\"Hola básico\",\n",
+        "    description=\"Aquí hay un saludo básico.\",\n",
+        "    article= \"Antonio Fernandez Salcedo, Practicas Saturdays.AI\",\n",
+        ")\n",
+        "\n",
         "iface.launch()"
       ],
       "metadata": {
         "id": "BxVmdCduH2iv",
-        "outputId": "00f879f9-5a7f-4679-ced4-684ef0440ece",
+        "outputId": "41c40c5c-fd49-42d9-c710-7b6c3083f8ea",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 626
         }
       },
       "id": "BxVmdCduH2iv",
-      "execution_count": 8,
+      "execution_count": 2,
       "outputs": [
         {
           "output_type": "stream",
@@ -51,7 +87,7 @@
             "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
             "\n",
             "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
-            "Running on public URL: https://c47bcfc9c499c9e471.gradio.live\n",
+            "Running on public URL: https://aa93137ba5b92ad364.gradio.live\n",
             "\n",
             "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
           ]
@@ -63,7 +99,7 @@
               "<IPython.core.display.HTML object>"
             ],
             "text/html": [
-              "<div><iframe src=\"https://c47bcfc9c499c9e471.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+              "<div><iframe src=\"https://aa93137ba5b92ad364.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
             ]
           },
           "metadata": {}
@@ -74,7 +110,7 @@
             "text/plain": []
           },
           "metadata": {},
-          "execution_count": 8
+          "execution_count": 2
         }
       ]
     }