minor text fixes

01_getting_started/generators.py

@@ -1,7 +1,7 @@
 # # Run a generator function on Modal
 
 # This example shows how you can run a generator function on Modal. We define a
-# function that yields values and then call it with the [`remote_gen`](https://modal.com/docs/reference/modal.Function#remote_gen) method. The
+# function that `yields` values and then call it with the [`remote_gen`](https://modal.com/docs/reference/modal.Function#remote_gen) method. The
 # `remote_gen` method returns a generator object that can be used to iterate over
 # the values produced by the function.
 

05_scheduling/schedule_simple.py

@@ -7,8 +7,8 @@
 # This example shows how you can schedule remote jobs on Modal.
 # You can do this either with:
 #
-# - [modal.Period](https://modal.com/docs/reference/modal.Period) - a time interval between function calls.
-# - [modal.Cron](https://modal.com/docs/reference/modal.Cron) - a cron expression to specify the schedule.
+# - [`modal.Period`](https://modal.com/docs/reference/modal.Period) - a time interval between function calls.
+# - [`modal.Cron`](https://modal.com/docs/reference/modal.Cron) - a cron expression to specify the schedule.
 
 # In the code below, the first function runs every
 # 5 seconds, and the second function runs every minute. We use the `schedule`

07_web_endpoints/count_faces.py

@@ -2,7 +2,7 @@
 # lambda-test: false
 # ---
 
-# Run opencv face detection on an image
+# Run OpenCV face detection on an image
 
 # This example shows how you can use OpenCV on Modal to detect faces in an image. We use
 # the `opencv-python` package to load the image and the `opencv` library to

07_web_endpoints/fastapi_app.py

@@ -5,7 +5,7 @@
 # # Deploy FastAPI app with Modal
 
 # This example shows how you can deploy a [FastAPI](https://fastapi.tiangolo.com/) app with Modal.
-# You can serve any app written in an ASGI or WSGI-compatible web framework (like FastAPI) on Modal.
+# You can serve any app written in an ASGI-compatible web framework (like FastAPI) using this pattern or you can server WSGI-compatible frameworks like Flask with [`wsgi_app`](https://modal.com/docs/guide/webhooks#wsgi).
 
 from typing import Optional
 

07_web_endpoints/fasthtml_app.py

@@ -6,7 +6,7 @@
 # # Deploy a FastHTML app with Modal
 
 # This example shows how you can deploy a FastHTML app with Modal.
-# [FastHTML](https://www.fastht.ml/) is a Python library that allows you to create HTML elements using Python code.
+# [FastHTML](https://www.fastht.ml/) is a Python library that allows you to create entire web applications using only Python.
 
 
 import modal

07_web_endpoints/flask_app.py

@@ -5,7 +5,7 @@
 # # Deploy Flask app with Modal
 
 # This example shows how you can deploy a [Flask](https://flask.palletsprojects.com/en/3.0.x/) app with Modal.
-# You can serve any app written in an ASGI or WSGI-compatible web framework (like Flask) on Modal.
+# You can serve any app written in a WSGI-compatible web framework (like Flask) on Modal with this pattern. You can serve an app written in an ASGI-compatible framework, like FastAPI, with [`asgi_app`](https://modal.com/docs/guide/webhooks#asgi).
 
 import modal
 

08_advanced/parallel_execution.py

@@ -1,4 +1,4 @@
-# # Parallel Execution on Modal
+# # Parallel execution on Modal with `spawn`
 
 # This example shows how you can run multiple functions in parallel on Modal.
 # We use the `spawn` method to start a function and return a handle to its result.

misc/lmdeploy_oai_compatible.py

@@ -1,4 +1,4 @@
-# # Deploy a model with lmdeploy
+# # Deploy a model with `lmdeploy`
 #
 # This script is used to deploy a model using [lmdeploy](https://github.com/InternLM/lmdeploy) with OpenAI compatible API.