diff --git a/bot.py b/bot.py
index 68299ab..65f0dc8 100644
--- a/bot.py
+++ b/bot.py
@@ -1,3 +1,4 @@
+import gc
 import logging
 from aiogram import Bot, Dispatcher, types, executor
 import os
@@ -25,39 +26,23 @@
 # хэндлер на команду /start
 @dp.message_handler(commands='start')
 async def cmd_start(message: types.Message):
-   await message.answer('Hello!')
+    await message.answer('Hello!')
 
 
-unique_id = ''
-@dp.message_handler(content_types=['audio', 'photo'])
-async def show_spectrogram(message: types.Message):
-    audio_id = message.audio.file_id
-    global unique_id
-    unique_id = message.audio.file_unique_id
-    file_info = await bot.get_file(audio_id)
-    path_to_file = f'D:\\PyCharm\\PyCharm 2022.3\\pythonProject\\{message.audio.file_unique_id}.mp3'
-    try:
-        await bot.download_file(file_info.file_path,
-                                destination=f'D:\\PyCharm\\PyCharm 2022.3\\pythonProject\\{message.audio.file_unique_id}.mp3')
-        await message.answer("Your audio is successfully downloaded")
-    except:
-        await message.answer("Error downloading")
-
+def create_spectrogram(path_to_file: str, unique_id: str):
     input_file = f'{path_to_file}'
     output_file = f'{path_to_file}.wav'
 
     sound = AudioSegment.from_mp3(input_file)
     sound.export(output_file, format='wav')
 
-    input_file2 = output_file
     output_file_mono = f'{output_file}_mono.wav'
 
-    stereo_audio = AudioSegment.from_file(input_file2, format='wav')
+    stereo_audio = AudioSegment.from_file(output_file, format='wav')
     mono_audios = stereo_audio.split_to_mono()
     mono_left = mono_audios[0].export(output_file_mono, format='wav')
 
-    input_file_spectrogram = output_file_mono
-    samplerate, data = wavfile.read(input_file_spectrogram)
+    samplerate, data = wavfile.read(output_file_mono)
     f, t, Sxx = spectrogram(data, samplerate)
 
     plt.pcolormesh(1000 * t, f / 1000, 10 * np.log10(Sxx / Sxx.max()), vmin=-120, vmax=0, cmap='inferno')
@@ -66,10 +51,31 @@ async def show_spectrogram(message: types.Message):
     plt.colorbar()
     img = f'{unique_id}.png'
     plt.savefig(img)
+    plt.clf()
+
+
+@dp.message_handler(content_types=['audio', 'photo'])
+async def show_spectrogram(message: types.Message):
+    unique_id = ''
+    audio_id = message.audio.file_id
+    unique_id = message.audio.file_unique_id
+    file_info = await bot.get_file(audio_id)
+    path_to_file = f'D:\\PyCharm\\PyCharm 2022.3\\pythonProject\\{message.audio.file_unique_id}.mp3'
+
+    try:
+        await bot.download_file(file_info.file_path,
+                                destination=f'D:\\PyCharm\\PyCharm 2022.3\\pythonProject\\{message.audio.file_unique_id}.mp3')
+        await message.answer("Your audio is successfully downloaded")
+    except:
+        await message.answer("Error downloading")
 
+    create_spectrogram(path_to_file, unique_id)
+    
     try:
-        photo = open(f'{unique_id}.png', 'rb')
-        await message.answer_photo(photo, caption='Your spectrogram')
+        with open(f"{unique_id}.png", 'rb') as photo:
+            await message.answer_photo(photo, caption='Your spectrogram')
+        photo.close()
+        del photo
     except:
         await message.answer("Error showing")