Update tutorial 32 to use the langdetect-haystack integration (#466)

* Update tutorial 32 to use the langdetect-haystack integration

DocumentLanguageClassifier and TextLanguageRouter moved from Haystack
core to the langdetect-haystack package. Update the install command and
imports, and refresh the notebook outputs from an end-to-end run.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix: update tutorial 32 dependency from langdetect to langdetect-haystack

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Kacper Łukawski <kacper.lukawski@deepset.ai>

Author: 3 people

index.toml

@@ -75,7 +75,7 @@ notebook = "32_Classifying_Documents_and_Queries_by_Language.ipynb"
 aliases = []
 completion_time = "15 min"
 created_at = 2024-02-06
-dependencies = ["langdetect"]
+dependencies = ["langdetect-haystack"]
 
 [[tutorial]]
 title = "Creating a Hybrid Retrieval Pipeline"

tutorials/32_Classifying_Documents_and_Queries_by_Language.ipynb

@@ -56,7 +56,7 @@
     "%%bash\n",
     "\n",
     "pip install haystack-ai\n",
-    "pip install langdetect"
+    "pip install langdetect-haystack"
    ]
   },
   {
@@ -91,7 +91,7 @@
    "source": [
     "from haystack import Document, Pipeline\n",
     "from haystack.document_stores.in_memory import InMemoryDocumentStore\n",
-    "from haystack.components.classifiers import DocumentLanguageClassifier\n",
+    "from haystack_integrations.components.classifiers.langdetect import DocumentLanguageClassifier\n",
     "from haystack.components.routers import MetadataRouter\n",
     "from haystack.components.writers import DocumentWriter\n",
     "\n",
@@ -389,7 +389,7 @@
     "from haystack.components.builders import ChatPromptBuilder\n",
     "from haystack.components.generators.chat import OpenAIChatGenerator\n",
     "from haystack.dataclasses import ChatMessage\n",
-    "from haystack.components.routers import TextLanguageRouter\n",
+    "from haystack_integrations.components.routers.langdetect import TextLanguageRouter\n",
     "\n",
     "prompt_template = [\n",
     "    ChatMessage.from_user(\n",