add headings to some ml examples (#885)

* add headings to some ml examples

* fix link

* make titles more descriptive

---------

Co-authored-by: Charles Frye <[email protected]>

06_gpu_and_ml/embeddings/instructor.py

@@ -1,3 +1,7 @@
+# # Create Instructor Embeddings on Modal
+#
+# This example runs the [Instructor](https://github.com/xlang-ai/instructor-embedding) embedding model and runs a simple sentence similarity computation.
+
 import modal
 
 MODEL_DIR = "/model"

06_gpu_and_ml/embeddings/text_embeddings_inference.py

@@ -1,6 +1,10 @@
 # ---
 # cmd: ["modal", "run", "06_gpu_and_ml/embeddings/text_embeddings_inference.py::embed_dataset"]
 # ---
+# # Run TextEmbeddingsInference (TEI) on Modal
+#
+# This example runs the [Text Embedding Inference (TEI)](https://github.com/huggingface/text-embeddings-inference) toolkit on the Hacker News BigQuery public dataset.
+
 import json
 import os
 import socket

06_gpu_and_ml/stable_diffusion/flux.py

@@ -1,7 +1,11 @@
 # ---
 # output-directory: "/tmp/flux"
 # ---
-# example originally contributed by [@Arro](https://github.com/Arro)
+# # Run Flux.1 (Schnell) on Modal
+#
+# This example runs the popular [Flux.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) text-to-image model on Modal.
+#
+# Thanks to [@Arro](https://github.com/Arro) for the original contribution.
 from io import BytesIO
 from pathlib import Path
 

06_gpu_and_ml/stable_diffusion/playground.py

@@ -3,7 +3,10 @@
 # output-directory: "/tmp/playground-2-5"
 # args: ["--prompt", "A cinematic shot of a baby raccoon wearing an intricate Italian priest robe."]
 # ---
-
+# # Run Playground v2.5 on Modal
+#
+# This example runs the popular [Playground v2.5](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic) text-to-image on Modal.
+#
 from pathlib import Path
 
 import fastapi.staticfiles

06_gpu_and_ml/stable_diffusion/stable_diffusion_xl_lightning.py

@@ -1,3 +1,11 @@
+# ---
+# output-directory: "/tmp/stable-diffusion-xl-lightning"
+# ---
+# # Run SDXL Lightning on Modal
+#
+# This example runs [SDXL-Lightning](https://huggingface.co/ByteDance/SDXL-Lightning) by ByteDance, a fast text-to-image model that generates high quality images in just a few steps.
+#
+
 from pathlib import Path
 
 import modal

06_gpu_and_ml/stable_diffusion/stable_video_diffusion.py

@@ -1,6 +1,10 @@
 # ---
 # cmd: ["modal", "serve", "06_gpu_and_ml/stable_diffusion/stable_video_diffusion.py"]
 # ---
+# # Run Stable Video Diffusion in a Streamlit app
+#
+# This example runs the [Stable Video Diffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) image-to-video model.
+
 import os
 import sys