Add application file

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+.vscode
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+enhanced_*

app.py

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+import os
+import glob
+import torchaudio
+import torchaudio.transforms as T
+import numpy as np
+from matplotlib import pyplot as plt
+import librosa
+import librosa.display
+from df import enhance, init_df
+import streamlit as st
+from streamlit.components.v1 import html
+
+app_title = "소음 억제 도구"
+model, df_state, _ = init_df()  # Load default model
+df_sr = 48000
+
+
+def display_audio_info(audio, title):
+    # 두 개의 컬럼 생성
+    col1, col2 = st.columns(2)
+
+    audio = np.clip(audio, -1.0, 1.0)
+    if len(np.shape(audio)) == 2:
+        audio = audio[0]
+
+    # 왼쪽 컬럼에 스펙트로그램 표시
+    with col1:
+        st.markdown(f"### {title} - Spectrogram")
+        D = librosa.stft(audio)  # STFT of y
+        S_db = librosa.amplitude_to_db(np.abs(D), ref=np.max)
+        fig, ax = plt.subplots()
+        img = librosa.display.specshow(
+            S_db, x_axis='time', y_axis='linear', ax=ax)
+        fig.colorbar(img, ax=ax, format="%+2.f dB")
+        st.pyplot(fig)
+
+    # 오른쪽 컬럼에 파형 표시
+    with col2:
+        st.markdown(f"### {title} - Waveform")
+        fig, ax = plt.subplots()
+        plt.plot(audio)
+        ax.set_xticks([])
+        ax.set_ylim(-1, 1)
+        st.pyplot(fig)
+
+
+def main():
+    st.set_page_config(page_title=app_title, page_icon="favicon.ico",
+                       layout="centered", initial_sidebar_state="auto", menu_items=None)
+
+    button = """<script type="text/javascript" src="https://cdnjs.buymeacoffee.com/1.0.0/button.prod.min.js" data-name="bmc-button" data-slug="woojae" data-color="#FFDD00" data-emoji="☕"  data-font="Cookie" data-text="Buy me a coffee" data-outline-color="#000000" data-font-color="#000000" data-coffee-color="#ffffff" ></script>"""
+
+    st.title(app_title)
+    st.divider()
+    st.header('손쉽게 불필요한 소음을 제거하세요!')
+
+    uploaded_file = st.file_uploader(
+        "변환할 파일을 업로드 해주세요. (지원 형식: .wav, .mp3, .opus)")
+
+    if uploaded_file:
+        # 이전에 다운로드 한 파일을 삭제
+        files_to_remove = glob.glob('enhanced_*')
+        for file in files_to_remove:
+            os.remove(file)
+
+        uploaded_file_type = uploaded_file.type.split('/')[-1]
+        print(uploaded_file_type)
+        if uploaded_file_type not in ['wav', 'mpeg', 'ogg']:
+            st.text('지원하지 않는 파일 형식입니다.')
+        else:
+            with st.spinner('소음 제거하는 중'):
+                noisy_audio, sr = torchaudio.load(uploaded_file)
+                print("np.shape(noisy_audio)", np.shape(noisy_audio))
+                st.audio(noisy_audio.numpy(), sample_rate=sr)
+
+                # 샘플링 레이트가 48000Hz가 아닐 경우 리샘플링
+                if sr != df_sr:
+                    resampler = T.Resample(orig_freq=sr, new_freq=df_sr)
+                    noisy_audio = resampler(noisy_audio)
+                display_audio_info(noisy_audio.numpy(), "입력")
+
+            with st.spinner('소음 제거하는 중'):
+                output_audio = enhance(model, df_state, noisy_audio)
+                enhanced_audio = output_audio
+                st.divider()
+                # 샘플링 레이트가 48000Hz가 아닐 경우 리샘플링
+                if sr != df_sr:
+                    resampler = T.Resample(orig_freq=df_sr, new_freq=sr)
+                    enhanced_audio = resampler(enhanced_audio)
+                st.audio(enhanced_audio.numpy(), sample_rate=sr)
+                display_audio_info(output_audio.numpy(), "출력")
+
+    html(button, height=70, width=240)
+
+    st.markdown(
+        """
+        <style>
+            iframe[width="240"] {
+                position: fixed;
+                bottom: 30px;
+                right: 10px;
+            }
+        </style>
+        """,
+        unsafe_allow_html=True,
+    )
+
+
+if __name__ == '__main__':
+    main()

packages.txt

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+ffmpeg

requirements.txt

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+numpy
+torch
+torchaudio
+deepfilternet
+librosa
+matplotlib
+streamlit