Improve documentation around Dockerfiles (#70)

* Add a link to an example Dockerfile in the top README.md

* Update the inline Dockerfile to match file

* Remove explicit gunicorn installation

* make readme links absolute, useful

Useful for when this readme appears on both github and pypi

README.md

@@ -112,7 +112,7 @@ After you've written your function, you can simply deploy it from your local mac
 
 ## Cloud Run/Cloud Run on GKE
 
-Once you've written your function and added the Functions Framework to your `requirements.txt` file, all that's left is to create a container image. [Check out the Cloud Run quickstart](https://cloud.google.com/run/docs/quickstarts/build-and-deploy) for Python to create a container image and deploy it to Cloud Run. You'll write a `Dockerfile` when you build your container. This `Dockerfile` allows you to specify exactly what goes into your container (including custom binaries, a specific operating system, and more).
+Once you've written your function and added the Functions Framework to your `requirements.txt` file, all that's left is to create a container image. [Check out the Cloud Run quickstart](https://cloud.google.com/run/docs/quickstarts/build-and-deploy) for Python to create a container image and deploy it to Cloud Run. You'll write a `Dockerfile` when you build your container. This `Dockerfile` allows you to specify exactly what goes into your container (including custom binaries, a specific operating system, and more). [Here is an example `Dockerfile` that calls Functions Framework.](https://github.com/GoogleCloudPlatform/functions-framework-python/blob/master/examples/cloud_run_http)
 
 If you want even more control over the environment, you can [deploy your container image to Cloud Run on GKE](https://cloud.google.com/run/docs/quickstarts/prebuilt-deploy-gke). With Cloud Run on GKE, you can run your function on a GKE cluster, which gives you additional control over the environment (including use of GPU-based instances, longer timeouts and more).
 
@@ -178,8 +178,8 @@ See the [running example](examples/cloud_run_cloudevents).
 
 # Advanced Examples
 
-More advanced guides can be found in the [`examples/`](./examples/) directory. You can also find examples
-on using the CloudEvent Python SDK [here](https://github.com/cloudevents/sdk-python).
+More advanced guides can be found in the [`examples/`](https://github.com/GoogleCloudPlatform/functions-framework-python/blob/master/examples/) directory.
+You can also find examples on using the CloudEvent Python SDK [here](https://github.com/cloudevents/sdk-python).
 
 # Contributing
 

examples/cloud_run_http/Dockerfile

@@ -8,7 +8,7 @@ WORKDIR $APP_HOME
 COPY . .
 
 # Install production dependencies.
-RUN pip install gunicorn functions-framework
+RUN pip install functions-framework
 RUN pip install -r requirements.txt
 
 # Run the web service on container startup.

examples/cloud_run_http/README.md

@@ -26,14 +26,11 @@ WORKDIR $APP_HOME
 COPY . .
 
 # Install production dependencies.
-RUN pip install gunicorn functions-framework
+RUN pip install functions-framework
 RUN pip install -r requirements.txt
 
-# Run the web service on container startup. Here we use the gunicorn
-# webserver, with one worker process and 8 threads.
-# For environments with multiple CPU cores, increase the number of workers
-# to be equal to the cores available.
-CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 -e FUNCTION_TARGET=hello functions_framework:app
+# Run the web service on container startup.
+CMD exec functions-framework --target=hello
 ```
 
 Start the container locally by running `docker build` and `docker run`: