From 7aa19d94ce2d9ba9de6e027243475ffa996e0293 Mon Sep 17 00:00:00 2001
From: cc30f <78901500+miroutom@users.noreply.github.com>
Date: Tue, 31 Jan 2023 13:46:22 +0300
Subject: [PATCH 1/2] Add files via upload

---
 bot.py | 40 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 bot.py

diff --git a/bot.py b/bot.py
new file mode 100644
index 0000000..70d1c54
--- /dev/null
+++ b/bot.py
@@ -0,0 +1,40 @@
+import asyncio
+import logging
+from aiogram import Bot, Dispatcher, types, executor
+from aiogram.types import InputFile
+import os
+from dotenv import load_dotenv
+from pathlib import Path
+
+dotenv_path = Path('.env.txt')
+load_dotenv(dotenv_path=dotenv_path)
+
+# логирование, чтобы не пропустить важные сообщения
+logging.basicConfig(level=logging.INFO)
+bot_token = os.getenv("BOT_TOKEN")
+# объект бота
+bot = Bot(token=bot_token)
+# диспетчер
+dp = Dispatcher(bot)
+
+
+# хэндлер на команду /start
+@dp.message_handler(commands=['start'])
+async def cmd_start(message: types.Message):
+    await message.answer('Привет!')
+
+
+@dp.message_handler(content_types=["audio", "photo"])
+async def spectrogram(message: types.Message):
+    audio_id = message.audio.file_id
+    file_info = await bot.get_file(audio_id)
+    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("Ваше аудио успешно скачано")
+    except:
+        await message.answer("Скачивание не удалось")
+
+
+if __name__ == '__main__':
+    executor.start_polling(dp, skip_updates=True)

From b150335016e99850e525ff5571b7323e8fd689b7 Mon Sep 17 00:00:00 2001
From: cc30f <78901500+miroutom@users.noreply.github.com>
Date: Tue, 31 Jan 2023 23:55:00 +0300
Subject: [PATCH 2/2] Update bot.py

---
 bot.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 46 insertions(+), 8 deletions(-)

diff --git a/bot.py b/bot.py
index 70d1c54..68299ab 100644
--- a/bot.py
+++ b/bot.py
@@ -1,10 +1,14 @@
-import asyncio
 import logging
 from aiogram import Bot, Dispatcher, types, executor
-from aiogram.types import InputFile
 import os
 from dotenv import load_dotenv
 from pathlib import Path
+from aiogram.types import InputFile
+from pydub import AudioSegment
+import matplotlib.pyplot as plt
+from scipy.io import wavfile
+from scipy.signal import spectrogram
+import numpy as np
 
 dotenv_path = Path('.env.txt')
 load_dotenv(dotenv_path=dotenv_path)
@@ -19,21 +23,55 @@
 
 
 # хэндлер на команду /start
-@dp.message_handler(commands=['start'])
+@dp.message_handler(commands='start')
 async def cmd_start(message: types.Message):
-    await message.answer('Привет!')
+   await message.answer('Hello!')
 
 
-@dp.message_handler(content_types=["audio", "photo"])
-async def spectrogram(message: types.Message):
+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("Ваше аудио успешно скачано")
+        await message.answer("Your audio is successfully downloaded")
+    except:
+        await message.answer("Error downloading")
+
+    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')
+    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)
+    f, t, Sxx = spectrogram(data, samplerate)
+
+    plt.pcolormesh(1000 * t, f / 1000, 10 * np.log10(Sxx / Sxx.max()), vmin=-120, vmax=0, cmap='inferno')
+    plt.ylabel('Frequency [kHz]')
+    plt.xlabel('Time [ms]')
+    plt.colorbar()
+    img = f'{unique_id}.png'
+    plt.savefig(img)
+
+    try:
+        photo = open(f'{unique_id}.png', 'rb')
+        await message.answer_photo(photo, caption='Your spectrogram')
     except:
-        await message.answer("Скачивание не удалось")
+        await message.answer("Error showing")
 
 
 if __name__ == '__main__':