Check notebooks are lowercase

.github/workflows/check_notebooks_lowercase.yml

@@ -0,0 +1,24 @@
+name: Check notebook names are lowercase
+
+on: [push]
+
+jobs:
+  check-lowercase:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v2
+
+    - name: Check filenames in 'notebooks/'
+      run: |
+        # Change to the directory where you want to check filenames
+        cd notebooks
+        # Find files with uppercase characters in their names
+        files=$(find . -type f | grep '[A-Z]' || true)
+        if [ -n "$files" ]; then
+            echo "The following files are not lowercase:"
+            echo "$files"
+            exit 1
+        else
+            echo "All filenames are lowercase."
+        fi

notebooks/en/_toctree.yml

@@ -2,13 +2,13 @@
   sections:
   - local: index
     title: Open-Source AI Cookbook
-  - local: FAISS_with_HF_datasets_and_CLIP
+  - local: faiss_with_hf_datasets_and_clip
     title: Embedding multimodal data for similarity search
-  - local: Fine_tuning_Code_LLM_on_single_GPU
+  - local: fine_tuning_code_llm_on_single_gpu
     title: Fine-tuning a Code LLM on Custom Code on a single GPU
-  - local: RAG_zephyr_langchain
+  - local: rag_zephyr_langchain
     title: Simple RAG using Hugging Face Zephyr and LangChain
-  - local: advanced_RAG
+  - local: advanced_rag
     title: Advanced RAG on HuggingFace documentation using LangChain
-  - local: RAG_evaluation
+  - local: rag_evaluation
     title: RAG Evaluation

notebooks/en/index.md

@@ -7,11 +7,11 @@ applications and solving various machine learning tasks using open-source tools
 
 Check out the recently added notebooks: 
 
-- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](RAG_zephyr_langchain)
-- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](FAISS_with_HF_datasets_and_CLIP)
-- [Fine-tuning a Code LLM on Custom Code on a single GPU](Fine_tuning_Code_LLM_on_single_GPU)
-- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](RAG_evaluation)
-- [Advanced RAG on HuggingFace documentation using LangChain](advanced_RAG)
+- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](rag_zephyr_langchain)
+- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](faiss_with_hf_datasets_and_clip)
+- [Fine-tuning a Code LLM on Custom Code on a single GPU](fine_tuning_code_llm_on_single_gpu)
+- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](rag_evaluation)
+- [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag)
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).