diff --git a/sample_data/rainbow_passage_actor.mp4 b/sample_data/rainbow_passage_actor.mp4
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diff --git a/sample_data/sample_script.py b/sample_data/sample_script.py
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+
+### LIBRARIES ------
+import pandas as pd
+import numpy as np
+import os, glob
+
+from siuba import _ as D
+import siuba.dply.verbs
+import siuba.dply.vector
+
+from opendbm import FacialActivity  #needed with docker?
+from opendbm import Movement as mv #needed with docker? 
+from opendbm import VerbalAcoustics as va 
+from opendbm import Speech as sp
+
+
+### FINDING DATASETS ----
+
+
+# find mp4 files -- assume in sample_data folder
+str_ext = '*_actor.mp4'
+list_mp4 = glob.glob(str_ext)
+path_file = list_mp4[0]
+
+
+### VERBAL ACOUSTICS -----
+
+#fit the model
+model_va = va()
+model_va.fit(path_file)
+#model_va = va().fit(pathfile) # one-line alternative
+var_intensity = model_va.get_audio_intensity()
+
+# get audio intensity
+df_va_intensity = var_intensity.to_dataframe()
+print(df_va_intensity)
+
+# get attributes from audio intesity 
+va_inten_mean = var_intensity.mean()
+
+### Movement 
+model_mv = mv()
+model_mv.fit(path_file) # Requires Docker
+
+#get head movement
+var_headmv = model_mv.get_head_movement() 
+
+#convert head movement to dataframe
+df_headmv = var_headmv.to_dataframe()
+#note can check to see headmovement in jupyter:variables
+# this can be helpful for QC to see if head movement was captured.
+# wheh face is not detected no movement is captured and return is array of nan