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app (1).py

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+import requests
+import pandas as pd
+import streamlit as st
+from io import StringIO
+
+# URL of the markdown table
+url = "https://huggingface.co/Lenylvt/NoCopyrightMusic_for_AIModelExamples/resolve/main/Sounds_Table_Markdown.md?download=true"
+
+# Download the markdown content
+response = requests.get(url)
+markdown_content = response.text
+
+# Find the start and end of the table in the markdown content
+start_of_table = markdown_content.find("|")
+end_of_table = markdown_content.find("\n\n", start_of_table)
+table_content = markdown_content[start_of_table:end_of_table]
+
+# Convert the markdown table to a DataFrame
+df = pd.read_table(StringIO(table_content), sep="\s*\|\s*", engine='python')
+df.columns = df.columns.str.strip()
+
+# Extract URLs from markdown links
+def extract_url(md_link):
+    start = md_link.find("(") + 1
+    end = md_link.find(")", start)
+    return md_link[start:end]
+
+for column in ['Full Version', 'Instrumental Version', 'Vocals Version']:
+    df[column] = df[column].apply(extract_url)
+
+# Streamlit app layout
+st.title("🎼 Music Player")
+st.markdown("**Select a track and its version to play.** You can find all music [here](https://huggingface.co/Lenylvt/NoCopyrightMusic_for_AIModelExamples) 🎉")
+
+# Dropdown to select music
+music_name = st.selectbox("Select Music 🎵", df['Music Name'].tolist())
+
+# Radio buttons to select version
+version = st.radio("Version 🎚️", ['Full Version', 'Instrumental Version', 'Vocals Version'])
+
+# Find and display the selected music
+if st.button('Play Music'):
+    row = df[df['Music Name'].str.strip() == music_name].iloc[0]
+    music_url = row[version]
+    st.audio(music_url)
+    st.markdown("**Click on three dot to download it !**")
+

requirements (1).txt

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+streamlit
+pandas
+requests