change notebooks

Author: aaravnavani

docs/examples/translation_with_quality_check.ipynb

@@ -26,6 +26,15 @@
     "  huggingface-cli login --token $HUGGINGFACE_TOKEN\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We also need to install the ```HighQualityTranslation``` validator from Guardrails Hub: \n",
+    "\n",
+    "```guardrails hub install hub://brainlogic/high_quality_translation```"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 10,
@@ -36,7 +45,7 @@
     "from pydantic import BaseModel, Field\n",
     "import guardrails as gd\n",
     "from rich import print\n",
-    "from guardrails.validators import IsHighQualityTranslation"
+    "from guardrails.hub import HighQualityTranslation"
    ]
   },
   {
@@ -130,7 +139,7 @@
     "class HighQualityTranslation(BaseModel):\n",
     "    translated_statement: str = Field(\n",
     "        description=\"Validate the translation quality of the given statement\",\n",
-    "        validators=[IsHighQualityTranslation(on_fail=\"fix\")],\n",
+    "        validators=[HighQualityTranslation(on_fail=\"fix\")],\n",
     "    )"
    ]
   },
@@ -553,7 +562,7 @@
    "source": [
     "# Test with validation method 'full'\n",
     "guard = gd.Guard.from_string(\n",
-    "    validators=[IsHighQualityTranslation(on_fail=\"fix\")],\n",
+    "    validators=[HighQualityTranslation(on_fail=\"fix\")],\n",
     "    description=\"Validate the translation quality of the given statement\",\n",
     ")"
    ]
@@ -705,7 +714,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As you can see, the translation quality is really bad, and the `IsHighQualityTranslation` check failed as the translation quality was below the threshold. The validated response is an empty string.\n",
+    "As you can see, the translation quality is really bad, and the `HighQualityTranslation` check failed as the translation quality was below the threshold. The validated response is an empty string.\n",
     "\n",
     "## In this way, you can use Guardrails to ensure that the output of your LLM is of high quality.\n"
    ]