minor text fixes following removal of mounts

06_gpu_and_ml/dreambooth/diffusers_lora_finetune.py

@@ -421,15 +421,15 @@ class AppConfig(SharedConfig):
     guidance_scale: float = 6
 
 
-image_with_assets = image.add_local_dir(
+web_image = image.add_local_dir(
     # Add local web assets to the image
     Path(__file__).parent / "assets",
     remote_path="/assets",
 )
 
 
 @app.function(
-    image=image_with_assets,
+    image=web_image,
     concurrency_limit=1,
     allow_concurrent_inputs=1000,
 )

06_gpu_and_ml/hyperparameter-sweep/hp_sweep_gpt.py

@@ -92,12 +92,16 @@
     "torch==2.1.2",
     "tensorboard==2.17.1",
     "numpy<2",
-).add_local_dir(Path(__file__).parent / "src", remote_path="/root/src")
+)
 
 # We also have some local dependencies that we'll need to import into the remote environment.
-# We mount them onto the remote container.
+# We add them into the remote container.
+
+torch_image = torch_image.add_local_dir(
+    Path(__file__).parent / "src", remote_path="/root/src"
+)
 
-# We'll serve a simple web endpoint
+# We'll serve a simple web endpoint:
 web_image = base_image.pip_install(
     "fastapi[standard]==0.115.4", "starlette==0.41.2"
 )

06_gpu_and_ml/obj_detection_webcam/webcam.py

@@ -86,10 +86,7 @@
     from transformers import DetrForObjectDetection, DetrImageProcessor
 
 
-@app.cls(
-    cpu=4,
-    image=image,
-)
+@app.cls(image=image)
 class ObjectDetection:
     @modal.build()
     def download_model(self):
@@ -168,8 +165,8 @@ def detect(self, img_data_in):
 
 
 @app.function(
-    image=modal.Image.debian_slim()
-    .pip_install("fastapi[standard]")
+    image=modal.Image.debian_slim(python_version="3.12")
+    .pip_install("fastapi[standard]==0.115.4")
     .add_local_dir(static_path, remote_path="/assets")
 )
 @modal.asgi_app(label="example-webcam-object-detection")

09_job_queues/doc_ocr_webapp.py

@@ -17,7 +17,7 @@
 
 # ## Basic setup
 
-# Let's get the imports out of the way and define a [`App`](https://modal.com/docs/reference/modal.App).
+# Let's get the imports out of the way and define an [`App`](https://modal.com/docs/reference/modal.App).
 
 from pathlib import Path
 
@@ -75,26 +75,26 @@ async def poll_results(call_id: str):
     return result
 
 
-# Specify a container image containing the version of fastapi we want to use to serve
-# our web app
-fast_api_image = modal.Image.debian_slim(python_version="3.12").pip_install(
+# Now that we've defined our endpoints, we're ready to host them on Modal.
+# First, we specify our dependencies -- here, a basic Debian Linux
+# environment with FastAPI installed.
+
+image = modal.Image.debian_slim(python_version="3.12").pip_install(
     "fastapi[standard]==0.115.4"
 )
 
-# Finally, we add the static files for our front-end. We've made [a simple React
+# Then, we add the static files for our front-end. We've made [a simple React
 # app](https://github.com/modal-labs/modal-examples/tree/main/09_job_queues/doc_ocr_frontend)
 # that hits the two endpoints defined above. To package these files with our app, we use
-# add_local_dir with the local directory of the assets, and specify that we want them
+# `add_local_dir` with the local directory of the assets, and specify that we want them
 # in the `/assets` directory inside our container (the `remote_path`). Then, we instruct FastAPI to [serve
 # this static file directory](https://fastapi.tiangolo.com/tutorial/static-files/) at our root path.
 
 local_assets_path = Path(__file__).parent / "doc_ocr_frontend"
-ocr_app_image = fast_api_image.add_local_dir(
-    local_assets_path, remote_path="/assets"
-)
+image = image.add_local_dir(local_assets_path, remote_path="/assets")
 
 
-@app.function(image=ocr_app_image)
+@app.function(image=image)
 @modal.asgi_app()
 def wrapper():
     web_app.mount(

10_integrations/streamlit/serve_streamlit.py

@@ -25,7 +25,7 @@
 # ## Define container dependencies
 
 # The `app.py` script imports three third-party packages, so we include these in the example's
-# image definition and then add the app.py file itself to the image.
+# image definition and then add the `app.py` file itself to the image.
 
 streamlit_script_local_path = Path(__file__).parent / "app.py"
 streamlit_script_remote_path = "/root/app.py"