diff --git a/mic_read.py b/mic_read.py
index b74d9fe..64161f4 100644
--- a/mic_read.py
+++ b/mic_read.py
@@ -43,7 +43,7 @@ def open_mic():
 outputs: int16 data array
 """
 def get_data(stream,pa):
-    input_data = stream.read(CHUNK_SIZE)
+    input_data = stream.read(CHUNK_SIZE, exception_on_overflow=False)
     data = np.fromstring(input_data,np.int16)
     return data
 
diff --git a/requirements.txt b/requirements.txt
index c963c20..6acd8e0 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,11 @@
-funcsigs==0.4
-matplotlib==1.4.3
-mock==1.3.0
-nose==1.3.7
-numpy==1.9.2
-pbr==1.4.0
-PyAudio==0.2.8
-pyparsing==2.0.3
-python-dateutil==2.4.2
-pytz==2015.4
-six==1.9.0
+funcsigs>=0.4
+matplotlib>=1.4.3
+mock>=1.3.0
+nose>=1.3.7
+numpy>=1.9.2
+pbr>=1.4.0
+PyAudio>=0.2.8
+pyparsing>=2.0.3
+python-dateutil>=2.4.2
+pytz>=2015.4
+six>=1.9.0
diff --git a/run_specgram.py b/run_specgram.py
index 6ba9931..7f54b91 100644
--- a/run_specgram.py
+++ b/run_specgram.py
@@ -31,7 +31,7 @@
 inputs: audio stream and PyAudio object
 outputs: int16 array
 """
-def get_sample(stream,pa):
+def get_sample(stream, pa):
     data = mic_read.get_data(stream,pa)
     return data
 """
@@ -54,8 +54,8 @@ def get_specgram(signal,rate):
 inputs: iteration number
 outputs: updated image
 """
-def update_fig(n):
-    data = get_sample(stream,pa)
+def update_fig(n, stream, pa, im):
+    data = get_sample(stream,  pa)
     arr2D,freqs,bins = get_specgram(data,rate)
     im_data = im.get_array()
     if n < SAMPLES_PER_FRAME:
@@ -74,8 +74,8 @@ def main():
     """
     Launch the stream and the original spectrogram
     """
-    stream,pa = mic_read.open_mic()
-    data = get_sample(stream,pa)
+    stream, pa = mic_read.open_mic()
+    data = get_sample(stream, pa)
     arr2D,freqs,bins = get_specgram(data,rate)
     """
     Setup the plot paramters
@@ -90,7 +90,8 @@ def main():
     ##plt.colorbar() #enable if you want to display a color bar
 
     ############### Animate ###############
-    anim = animation.FuncAnimation(fig,update_fig,blit = False,
+    upd_fig = lambda n: update_fig(n, stream=stream, pa=pa, im=im)
+    anim = animation.FuncAnimation(fig,upd_fig,blit = False,
                                 interval=mic_read.CHUNK_SIZE/1000)