diff --git a/Dockerfile b/Dockerfile
deleted file mode 100644
index 3abf3e9..0000000
--- a/Dockerfile
+++ /dev/null
@@ -1,19 +0,0 @@
-FROM python:3.8-slim
-LABEL name=redilysis version=0.1
-
-WORKDIR /opt
-RUN apt update
-RUN apt install -y --no-install-recommends build-essential\
- gcc\
- pkg-config\
- python-dev\
- portaudio19-dev\
- libsndfile1\
- alsa-utils\
- pulseaudio
-RUN pip3 install librosa numpy pyaudio redis statistics
-
-COPY . .
-
-# Start the main process.
-CMD ["python", "./redilysis.py", "-L"]
diff --git a/README.md b/README.md
index 35156de..7fc35b1 100644
--- a/README.md
+++ b/README.md
@@ -5,45 +5,6 @@ Redilysis sends audio analysis to a redis server.
 
 The idea is to share a single audio analysis to many Visual Jockey filters, in our case for lasers.
 
-### Requirements and installation
-
-You need:
-* python 2.7 / 3+
-* an audio card
-* a redis server
-
-#### Custom install on Linux
-
-Note that it will almost certainly fail on Debian 9/10/11. This is due to mandatory LLVM's version when compiling the numba library for librosa.
-
-```
-apt install -y --no-install-recommends build-essential gcc pkg-config python-dev portaudio19-dev libsndfile1 pulseaudio
-pip3 install librosa numpy pyaudio redis statistics
-git clone https://git.interhacker.space/tmplab/redilysis.git
-cd redilysis
-python redilysis.py --help
-```
-You will need to have pulseaudio and a local redis server.
-
-#### With Docker
-
-Here is an example. It is a dirty method, but it works :)
-
-```
-docker run -it \
-  -e NUMBA_CACHE_DIR=/tmp  \
-  -e PULSE_SERVER=unix:${XDG_RUNTIME_DIR}/pulse/native \
-  -v ${XDG_RUNTIME_DIR}/pulse/native:${XDG_RUNTIME_DIR}/pulse/native \
-  -v ~/.config/pulse/cookie:/root/.config/pulse/cookie \
-  --group-add $(getent group audio | cut -d: -f3) \
-  protonphoton/redilysis:latest \
-  python redilysis.py -i 172.17.0.1
-```
-
-Two things here:
-
-1. We are using here the `172.17.0.1` IP address to connect to the redis server. Change according to your needs.
-2. The dirty part: Docker uses pulseaudio through your personal user and environment variables...
 
 
 ### Redis Keys and Contents for end users
@@ -175,6 +136,21 @@ Examples are given based on previous values for redis keys.
     * etc. until you have ```f(i) > bpm_sample_interval```
 
 
+### Requirements and installation
+
+* python 2.7
+* audio card
+* redis server
+
+To be honest, in my experience installation on Debian 9,10,11 is a mess, due to mandatory LLVM's version when compiling the numba library for librosa.
+
+```python
+sudo apt install python-pyaudio python
+git clone https://git.interhacker.space/tmplab/redilysis.git
+cd redilysis
+pip install -r requirements.txt
+python redilysis.py --help
+```
 
 
 ### Running redilysis: Common parameters
@@ -257,7 +233,4 @@ It attempts to detect beats based on audio "jumps" in intensity and energy.
 To correct a well-known error called the "octave error" where the detected tempo is twice/half or thrice/third of the real tempo, you can use the Min/Max BPM. When the calculated tempo is outside of the range, it will attempt to find more legitimate values.
 
 
-# License
-
-Released under the GPLv3 License
 
diff --git a/redilysis.py b/redilysis.py
index f9dde74..626888c 100755
--- a/redilysis.py
+++ b/redilysis.py
@@ -1,4 +1,3 @@
-#! /usr/bin/python2.7
 """
 Sends live audio analysis to the terminal.
 
@@ -228,9 +227,9 @@ def m_spectrum(audio_data):
     #debug( 'spectrum_120:{} '.format(spectrum_120))
     #debug( 'spectrum_10:{}'.format(spectrum_10))
     #debug( 'rms:{}'.format(rms_avg))
-    if len(spectrum_120): r.set( 'spectrum_120', json.dumps( spectrum_120 ) )
-    if len(spectrum_10): r.set( 'spectrum_10', json.dumps( spectrum_10 ) )
-    if rms : r.set( 'rms', "{}".format(rms_avg) )
+    r.set( 'spectrum_120', json.dumps( spectrum_120 ) )
+    r.set( 'spectrum_10', json.dumps( spectrum_10 ) )
+    r.set( 'rms', "{}".format(rms_avg) )
     return True
 
 
diff --git a/requirements.txt b/requirements.txt
index 2cb0cdd..792ecf0 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,3 @@
-librosa
-numpy
-pyaudio
+librosa==0.7.2
 redis
 statistics