reverting back to librosa ffmpeg solution

Dockerfile

@@ -7,20 +7,20 @@ ADD requirements.txt .
 
 RUN pip install --no-cache-dir -r requirements.txt
 
-#install ffmpeg
-#RUN apt-get -y update && apt-get install -y wget nano git build-essential yasm pkg-config
+#install ffmpeg (takes a long time...need to figure out a better solution)
+RUN apt-get -y update && apt-get install -y wget nano git build-essential yasm pkg-config
 
 # Compile and install ffmpeg from source
-#RUN git clone https://github.com/FFmpeg/FFmpeg /root/ffmpeg && \
-#    cd /root/ffmpeg && \
-#    ./configure --enable-nonfree --disable-shared --extra-cflags=-I/usr/local/include && \
-#    make -j8 && make install -j8
+RUN git clone https://github.com/FFmpeg/FFmpeg /root/ffmpeg && \
+    cd /root/ffmpeg && \
+    ./configure --enable-nonfree --disable-shared --extra-cflags=-I/usr/local/include && \
+    make -j8 && make install -j8
 
 # If you want to add some content to this image because the above takes a LONGGG time to build
-#ARG CACHEBREAK=1
+ARG CACHEBREAK=1
 
-#install libsndfile
-RUN apt-get install libsndfile1
+#install libsndfile (need to fix)
+#RUN apt-get install libsndfile1
 
 COPY app app/
 

app/server.py

@@ -85,8 +85,8 @@ async def homepage(request):
     return templates.TemplateResponse('index.html', {'request': request})
 
 def create_spectrograph(source_filepath, destination_filepath):    
-    #y, sr = librosa.load(source_filepath, sr = 22050) # Use the default sampling rate of 22,050 Hz
-    y, sr = soundfile.read(source_filepath)
+    y, sr = librosa.load(source_filepath, sr = 22050) # Use the default sampling rate of 22,050 Hz
+    #y, sr = soundfile.read(source_filepath) try this again later
 
     # Pre-emphasis filter
     pre_emphasis = 0.97