diff --git a/tortoise/eval_multiple.py b/tortoise/eval_multiple.py
deleted file mode 100644
index baaaaed..0000000
--- a/tortoise/eval_multiple.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import os
-
-import torchaudio
-
-from api import TextToSpeech
-from tortoise.utils.audio import load_audio
-
-if __name__ == '__main__':
-    fname = 'Y:\\clips\\books2\\subset512-oco.tsv'
-    stop_after = 128
-    outpath_base = 'D:\\tmp\\tortoise-tts-eval\\audiobooks'
-    outpath_real = 'D:\\tmp\\tortoise-tts-eval\\real'
-
-    os.makedirs(outpath_real, exist_ok=True)
-    with open(fname, 'r', encoding='utf-8') as f:
-        lines = [l.strip().split('\t') for l in f.readlines()]
-
-    tts = TextToSpeech()
-    for k in range(3):
-        outpath = f'{outpath_base}_{k}'
-        os.makedirs(outpath, exist_ok=True)
-        recorder = open(os.path.join(outpath, 'transcript.tsv'), 'w', encoding='utf-8')
-        for e, line in enumerate(lines):
-            if e >= stop_after:
-                break
-            transcript = line[0]
-            path = os.path.join(os.path.dirname(fname), line[1])
-            cond_audio = load_audio(path, 22050)
-            torchaudio.save(os.path.join(outpath_real, os.path.basename(line[1])), cond_audio, 22050)
-            sample = tts.tts_with_preset(transcript, [cond_audio, cond_audio], preset='standard')
-
-            down = torchaudio.functional.resample(sample, 24000, 22050)
-            fout_path = os.path.join(outpath, os.path.basename(line[1]))
-            torchaudio.save(fout_path, down.squeeze(0), 22050)
-
-            recorder.write(f'{transcript}\t{fout_path}\n')
-            recorder.flush()
-        recorder.close()
\ No newline at end of file
diff --git a/tortoise/sweep.py b/tortoise/sweep.py
deleted file mode 100644
index cfe0de9..0000000
--- a/tortoise/sweep.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import os
-from random import shuffle
-
-import torchaudio
-
-from api import TextToSpeech
-from tortoise.utils.audio import load_audio
-
-
-def permutations(args):
-    res = []
-    k = next(iter(args.keys()))
-    vals = args[k]
-    del args[k]
-    if not args:
-        return [{k: v} for v in vals]
-    lower = permutations(args)
-    for v in vals:
-        for l in lower:
-            lc = l.copy()
-            lc[k] = v
-            res.append(lc)
-    return res
-
-
-if __name__ == '__main__':
-    fname = 'Y:\\clips\\books2\\subset512-oco.tsv'
-    stop_after = 512
-    outpath_base = 'D:\\tmp\\tortoise-tts-eval\\sweep-2'
-    outpath_real = 'D:\\tmp\\tortoise-tts-eval\\real'
-
-    arg_ranges = {
-        'top_p': [.8,1],
-        'temperature': [.8,.9,1],
-        'diffusion_temperature': [.8,1],
-        'cond_free_k': [1,2,5,10],
-    }
-    cfgs = permutations(arg_ranges)
-    shuffle(cfgs)
-
-    for cfg in cfgs:
-        cfg_desc = '_'.join([f'{k}-{v}' for k,v in cfg.items()])
-        outpath = os.path.join(outpath_base, f'{cfg_desc}')
-        os.makedirs(outpath, exist_ok=True)
-        os.makedirs(outpath_real, exist_ok=True)
-        with open(fname, 'r', encoding='utf-8') as f:
-            lines = [l.strip().split('\t') for l in f.readlines()]
-
-        recorder = open(os.path.join(outpath, 'transcript.tsv'), 'w', encoding='utf-8')
-        tts = TextToSpeech()
-        for e, line in enumerate(lines):
-            if e >= stop_after:
-                break
-            transcript = line[0]
-            path = os.path.join(os.path.dirname(fname), line[1])
-            cond_audio = load_audio(path, 22050)
-            torchaudio.save(os.path.join(outpath_real, os.path.basename(line[1])), cond_audio, 22050)
-            sample = tts.tts(transcript, [cond_audio, cond_audio], num_autoregressive_samples=32, repetition_penalty=2.0,
-                             k=1, diffusion_iterations=32, length_penalty=1.0, **cfg)
-            down = torchaudio.functional.resample(sample, 24000, 22050)
-            fout_path = os.path.join(outpath, os.path.basename(line[1]))
-            torchaudio.save(fout_path, down.squeeze(0), 22050)
-            recorder.write(f'{transcript}\t{fout_path}\n')
-            recorder.flush()
-        recorder.close()
\ No newline at end of file
diff --git a/tortoise/samples_generator.py b/tortoise/utils/samples_generator.py
similarity index 94%
rename from tortoise/samples_generator.py
rename to tortoise/utils/samples_generator.py
index 937ba2f..61d3014 100644
--- a/tortoise/samples_generator.py
+++ b/tortoise/utils/samples_generator.py
@@ -4,7 +4,7 @@ import os
 
 if __name__ == '__main__':
     result = "<html><head><title>These words were never spoken.</title></head><body><h1>Handpicked results</h1>"
-    for fv in os.listdir('../results/favorites'):
+    for fv in os.listdir('../../results/favorites'):
         url = f'https://github.com/neonbjb/tortoise-tts/raw/main/results/favorites/{fv}'
         result = result + f'<audio controls="" style="width: 600px;"><source src="{url}" type="audio/mp3"></audio><br>\n'
 
@@ -30,7 +30,7 @@ if __name__ == '__main__':
         line = line + f'<td><audio controls="" style="width: 150px;"><source src="{url}" type="audio/mp3"></audio></td>'
     line = line + "</tr>"
     lines.append(line)
-    for txt in os.listdir('../results/various/'):
+    for txt in os.listdir('../../results/various/'):
         if 'desktop' in txt:
             continue
         line = f'<tr><td>{txt}</td>'
@@ -42,7 +42,7 @@ if __name__ == '__main__':
     result = result + '\n'.join(lines) + "</table>"
 
     result = result + "<h1>Longform result for all voices:</h1>"
-    for lf in os.listdir('../results/riding_hood'):
+    for lf in os.listdir('../../results/riding_hood'):
         url = f'https://github.com/neonbjb/tortoise-tts/raw/main/results/riding_hood/{lf}'
         result = result + f'<audio controls="" style="width: 600px;"><source src="{url}" type="audio/mp3"></audio><br>\n'