text: Title: How can I run the server from source rather than install from PyPi?
  Body: **Prerequisites**
  
  > Please fill in by replacing `[ ]` with `[x]`.
  
  * [x] Are you running the latest `bert-as-service`?
  * [x] Did you follow [the installation](https://github.com/hanxiao/bert-as-service#install) and [the usage](https://github.com/hanxiao/bert-as-service#usage) instructions in `README.md`?
  * [x] Did you check the [FAQ list in `README.md`](https://github.com/hanxiao/bert-as-service#speech_balloon-faq)?
  * [x] Did you perform [a cursory search on existing issues](https://github.com/hanxiao/bert-as-service/issues)?
  
  **System information**
  
  > Some of this information can be collected via [this script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh).
  
  - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04
  - TensorFlow installed from (source or binary): binary (pip)
  - TensorFlow version: 2.3
  - Python version: 3.8.2
  - `bert-as-service` version: 1.10
  - GPU model and memory: nvidia
  - CPU model and memory:
  
  ---
  
  ### Description
  
  > Please replace `YOUR_SERVER_ARGS` and `YOUR_CLIENT_ARGS` accordingly. You can also write your own description for reproducing the issue.
  
  I'm using this command to start the server:
  
  ```bash
   bert-serving-start -model_dir ~/workdir/bert-models/uncased_L-12_H-768_A-12 -num_worker=4
  ```
  
  and calling the server via:
  ```python
  bc = BertClient(YOUR_CLIENT_ARGS)
  bc.encode()
  ```
  
  Then this issue shows up:
  When I launch the server, I get `AttributeError: module 'tensorflow' has no attribute 'logging' bert as service`. I see that this has been fixed in master, but it is not promoted to PyPi. How can I run bert-as-service server from source code as opposed to installing it from `pip`? thank you
  ...