diff --git a/.gitignore b/.gitignore
index 2d8f5d0..80bce23 100644
--- a/.gitignore
+++ b/.gitignore
@@ -21,3 +21,4 @@ assets/*.joblib.*
 *.ipynb
 src/asleep/models
 *mdl
+*.lzma
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index a1f4c5e..9469a7f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,7 +17,7 @@ name = "asleep"  # Required
 #
 # For a discussion on single-sourcing the version, see
 # https://packaging.python.org/guides/single-sourcing-package-version/
-version = "0.3.5"  # Required
+version = "0.3.6"  # Required
 
 # This is a one-line description or tagline of what your project does. This
 # corresponds to the "Summary" metadata field:
diff --git a/src/asleep/get_sleep.py b/src/asleep/get_sleep.py
index 1f9f3a3..27ab077 100644
--- a/src/asleep/get_sleep.py
+++ b/src/asleep/get_sleep.py
@@ -178,6 +178,11 @@ def main():
         help="asleep package won't rerun the analysis to save "
              "time. force_run will make sure everything is "
              "regenerated")
+    parser.add_argument(
+        "--remove_intermediate_files",
+        action="store_true",
+        help="Remove intermediate files to save space but it "
+             "will take longer to run the next time.")
     parser.add_argument(
         "--pytorch_device",
         "-d",
@@ -197,6 +202,7 @@ def main():
 
     # get file name and create a folder for the output
     filename = os.path.basename(args.filepath)
+    filename = filename.split('.')[0]
     os.makedirs(args.outdir, exist_ok=True)
 
     args.outdir = os.path.join(args.outdir, filename)
@@ -211,6 +217,9 @@ def main():
     # Add non-wear detection
     data, info = get_parsed_data(
         raw_data_path, info_data_path, resample_hz, args)
+    if args.remove_intermediate_files:
+        os.remove(raw_data_path)
+        os.remove(info_data_path)
     print(data.head())
 
     # 1.1 Transform data into a usable format for inference
@@ -219,6 +228,8 @@ def main():
         data2model_path, times_path, data, args)
     print("data2model shape: {}".format(data2model.shape))
     print("times shape: {}".format(times.shape))
+    if args.remove_intermediate_files:
+        os.remove(data2model_path)
 
     # 2. sleep window detection and inference
     (binary_y, all_sleep_wins_df,
@@ -279,8 +290,8 @@ def main():
 
     # 4.2  Generate daily summary statistics
     output_json_path = os.path.join(args.outdir, 'summary.json')
+    day_summary_path = os.path.join(args.outdir, 'day_summary.csv')
     # save day level df to csv
-    day_summary_path = os.path.join('outputs', 'day_summary.csv')
     day_summary_df = generate_sleep_parameters(
         all_sleep_wins_df, times, predictions_df, day_summary_path)
 
diff --git a/tox.ini b/tox.ini
index 4ac04b6..6875a33 100644
--- a/tox.ini
+++ b/tox.ini
@@ -37,7 +37,7 @@ commands =
     check-manifest --ignore 'tox.ini,tests/**,assets/*.graffle,hubconf.py'
     python -m build
     python -m twine check dist/*
-    flake8 . --max-line-length=99 --ignore=W503,W504
+    flake8 . --max-line-length=99 --ignore=W503,W504,E402
     py.test tests {posargs}
 
 [flake8]