Spaces:
Sleeping
Sleeping
Manuel Zafra
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -38,7 +38,10 @@ MESSAGES = {
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"history_limit_label": "Number of songs to show",
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"no_history": "📋 No song recognition history yet",
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"empty_history": "📋 Song history is empty",
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-
"history_error": "❌ Error loading song history: {error}"
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},
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"es": {
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"title": "# 🎵 Reconocimiento Musical y Datos Curiosos",
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@@ -59,7 +62,10 @@ MESSAGES = {
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"history_limit_label": "Número de canciones a mostrar",
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"no_history": "📋 No hay historial de canciones reconocidas todavía",
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"empty_history": "📋 El historial de canciones está vacío",
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-
"history_error": "❌ Error al cargar el historial: {error}"
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},
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"fr": {
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"title": "# 🎵 Reconnaissance Musicale et Anecdotes",
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@@ -80,28 +86,28 @@ MESSAGES = {
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"history_limit_label": "Nombre de chansons à afficher",
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"no_history": "📋 Aucun historique de reconnaissance de chansons pour l'instant",
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"empty_history": "📋 L'historique des chansons est vide",
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"history_error": "❌ Erreur lors du chargement de l'historique : {error}"
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}
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}
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@tool
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def recognize_song(audio_path: str) -> dict:
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"""Recognizes a song from an audio file
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Args:
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audio_path: path to the audio file to recognize
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"""
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AUDD_API_TOKEN = os.getenv("AUDD_API_TOKEN")
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print(f"Token usado: {AUDD_API_TOKEN}")
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if not os.path.exists(audio_path):
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print(f"Audio file not found: {audio_path}")
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return {"error": "The audio file does not exist"}
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try:
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with open(audio_path, 'rb') as file:
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data = {'api_token': AUDD_API_TOKEN, 'return': 'spotify,apple_music'}
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files = {'file': file}
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print(f"Sending request to AudD API for {audio_path}")
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response = requests.post('https://api.audd.io/', data=data, files=files)
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print(f"AudD Response: {response.status_code} - {response.text}")
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if response.status_code != 200:
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return {"error": f"API Error: {response.status_code}"}
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@@ -125,19 +131,24 @@ def recognize_song(audio_path: str) -> dict:
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save_to_history(song_data)
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return song_data
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except Exception as e:
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print(f"Error processing audio {audio_path}: {str(e)}")
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return {"error": f"Error processing audio: {str(e)}"}
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def save_to_history(song_data):
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try:
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if os.path.exists(HISTORY_FILE):
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with open(HISTORY_FILE, 'r') as f:
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-
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else:
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history = []
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history.insert(0, song_data)
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if len(history) > 50:
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history = history[:50]
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with open(HISTORY_FILE, 'w') as f:
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json.dump(history, f, indent=2)
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except Exception as e:
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@@ -145,13 +156,21 @@ def save_to_history(song_data):
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@tool
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def view_song_history(limit: int = 10, language: str = "en") -> str:
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lang = LANGUAGES.get(language, "en")
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try:
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if not os.path.exists(HISTORY_FILE):
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return f"📋 {MESSAGES[lang]['no_history']}"
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with open(HISTORY_FILE, 'r') as f:
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-
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if not history:
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return f"📋 {MESSAGES[lang]['empty_history']}"
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@@ -172,6 +191,12 @@ def view_song_history(limit: int = 10, language: str = "en") -> str:
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@tool
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def get_artist_info(artist_name: str, song_title: str, language: str = "en") -> dict:
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prompts = {
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"en": f"Provide a detailed overview of the music artist '{artist_name}' including general information about their career, anecdotes, fun facts about the group, and specific details about the creation of their song '{song_title}' if available. Include an image URL if possible. Keep it engaging and positive.",
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"es": f"Proporciona una visión detallada del artista musical '{artist_name}' incluyendo información general sobre su carrera, anécdotas, datos curiosos sobre el grupo y detalles específicos sobre la creación de su canción '{song_title}' si están disponibles. Incluye una URL de imagen si es posible. Mantenlo atractivo y positivo.",
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@@ -185,7 +210,6 @@ def get_artist_info(artist_name: str, song_title: str, language: str = "en") ->
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try:
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response = model(messages)
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# Simple parsing to extract image URL if present (assuming model might return something like [Image: URL])
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content = response.content
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image_url = None
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if "[Image:" in content:
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@@ -197,6 +221,7 @@ def get_artist_info(artist_name: str, song_title: str, language: str = "en") ->
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except Exception as e:
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return {"text": f"Could not retrieve information about {artist_name}: {str(e)}", "image": None}
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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@@ -235,7 +260,7 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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with gr.Row():
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with gr.Column(scale=1):
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audio_input = gr.Audio(type="filepath", visible=False, source="microphone"
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record_btn = gr.Button(
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lambda: MESSAGES[selected_language.value]["rec_button"],
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elem_classes="big-button",
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@@ -251,6 +276,19 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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artist_info_text = gr.Markdown("")
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artist_info_image = gr.Image(type="url", label="Artist Image")
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with gr.Row():
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history_limit = gr.Slider(
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minimum=5, maximum=50, value=10, step=5,
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@@ -267,7 +305,6 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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def update_audio_status(audio_path):
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lang = LANGUAGES.get(selected_language.value, "en")
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print(f"Ruta del archivo de audio: {audio_path}")
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if audio_path:
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return "ready", MESSAGES[lang]["audio_loaded"]
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return "no_audio", MESSAGES[lang]["no_audio"]
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@@ -282,7 +319,6 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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result = recognize_song(audio_path)
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if "error" in result:
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print(f"Error desde AudD: {result['error']}")
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return None, "", "", MESSAGES[lang]["error"].format(error=result['error']), ""
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recognition_msg = f"### 🎵 {result['Song']}\n\n"
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@@ -298,6 +334,16 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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return result, recognition_msg, artist_info_content, MESSAGES[lang]["recognized"], artist_info['image'] or ""
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def view_history_process(limit, language_name):
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return view_song_history(int(limit), LANGUAGES.get(language_name, "en"))
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@@ -309,6 +355,9 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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gr.update(label=MESSAGES[lang]["language_label"]),
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MESSAGES[lang]["rec_button"],
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MESSAGES[lang]["recognize_button"],
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gr.update(label=MESSAGES[lang]["history_limit_label"]),
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MESSAGES[lang]["history_button"]
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)
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@@ -316,7 +365,7 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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language_dropdown.change(
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fn=update_language,
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inputs=[language_dropdown],
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outputs=[demo.get_component(0), demo.get_component(1), language_dropdown, record_btn, recognize_btn, history_limit, view_history_btn]
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)
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record_btn.click(
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@@ -337,6 +386,16 @@ with gr.Blocks(title="Music Recognition & Fun Facts", css=".large-text {font-siz
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outputs=[song_info_state, recognition_results, artist_info_text, audio_status_msg, artist_info_image]
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)
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view_history_btn.click(
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fn=view_history_process,
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inputs=[history_limit, language_dropdown],
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"history_limit_label": "Number of songs to show",
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"no_history": "📋 No song recognition history yet",
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"empty_history": "📋 Song history is empty",
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"history_error": "❌ Error loading song history: {error}",
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"chat_title": "### Ask me more about this artist or music in general",
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"chat_placeholder": "Ask about the artist, song, or anything music related...",
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"chat_button": "Send"
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},
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"es": {
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"title": "# 🎵 Reconocimiento Musical y Datos Curiosos",
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"history_limit_label": "Número de canciones a mostrar",
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"no_history": "📋 No hay historial de canciones reconocidas todavía",
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"empty_history": "📋 El historial de canciones está vacío",
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"history_error": "❌ Error al cargar el historial: {error}",
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"chat_title": "### Pregúntame más sobre este artista o música en general",
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"chat_placeholder": "Pregunta sobre el artista, la canción o cualquier tema musical...",
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"chat_button": "Enviar"
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},
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"fr": {
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"title": "# 🎵 Reconnaissance Musicale et Anecdotes",
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"history_limit_label": "Nombre de chansons à afficher",
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"no_history": "📋 Aucun historique de reconnaissance de chansons pour l'instant",
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"empty_history": "📋 L'historique des chansons est vide",
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"history_error": "❌ Erreur lors du chargement de l'historique : {error}",
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"chat_title": "### Posez-moi des questions sur cet artiste ou la musique en général",
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"chat_placeholder": "Posez des questions sur l'artiste, la chanson ou tout sujet musical...",
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"chat_button": "Envoyer"
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}
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}
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@tool
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def recognize_song(audio_path: str) -> dict:
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"""Recognizes a song from an audio file
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Args:
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audio_path: path to the audio file to recognize
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"""
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AUDD_API_TOKEN = os.getenv("AUDD_API_TOKEN")
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if not os.path.exists(audio_path):
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return {"error": "The audio file does not exist"}
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try:
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with open(audio_path, 'rb') as file:
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data = {'api_token': AUDD_API_TOKEN, 'return': 'spotify,apple_music'}
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files = {'file': file}
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response = requests.post('https://api.audd.io/', data=data, files=files)
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if response.status_code != 200:
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return {"error": f"API Error: {response.status_code}"}
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save_to_history(song_data)
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return song_data
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except Exception as e:
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return {"error": f"Error processing audio: {str(e)}"}
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def save_to_history(song_data):
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"""Saves a song to the history"""
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try:
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if os.path.exists(HISTORY_FILE):
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with open(HISTORY_FILE, 'r') as f:
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try:
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history = json.load(f)
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except json.JSONDecodeError:
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history = []
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else:
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history = []
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history.insert(0, song_data)
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if len(history) > 50:
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history = history[:50]
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with open(HISTORY_FILE, 'w') as f:
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json.dump(history, f, indent=2)
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except Exception as e:
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@tool
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def view_song_history(limit: int = 10, language: str = "en") -> str:
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"""Shows the history of recognized songs
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Args:
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limit: maximum number of songs to display (default 10)
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language: language code (en, es, fr)
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"""
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lang = LANGUAGES.get(language, "en")
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try:
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if not os.path.exists(HISTORY_FILE):
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return f"📋 {MESSAGES[lang]['no_history']}"
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with open(HISTORY_FILE, 'r') as f:
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try:
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history = json.load(f)
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except json.JSONDecodeError:
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return f"📋 Error loading song history."
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if not history:
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return f"📋 {MESSAGES[lang]['empty_history']}"
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@tool
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def get_artist_info(artist_name: str, song_title: str, language: str = "en") -> dict:
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"""Gets detailed artist info including anecdotes and song creation facts
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Args:
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artist_name: name of the artist
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song_title: title of the song
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language: language code (en, es, fr)
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"""
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prompts = {
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"en": f"Provide a detailed overview of the music artist '{artist_name}' including general information about their career, anecdotes, fun facts about the group, and specific details about the creation of their song '{song_title}' if available. Include an image URL if possible. Keep it engaging and positive.",
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"es": f"Proporciona una visión detallada del artista musical '{artist_name}' incluyendo información general sobre su carrera, anécdotas, datos curiosos sobre el grupo y detalles específicos sobre la creación de su canción '{song_title}' si están disponibles. Incluye una URL de imagen si es posible. Mantenlo atractivo y positivo.",
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try:
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response = model(messages)
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content = response.content
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image_url = None
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if "[Image:" in content:
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except Exception as e:
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return {"text": f"Could not retrieve information about {artist_name}: {str(e)}", "image": None}
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# Agent configuration
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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with gr.Row():
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with gr.Column(scale=1):
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audio_input = gr.Audio(type="filepath", visible=False, source="microphone")
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record_btn = gr.Button(
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lambda: MESSAGES[selected_language.value]["rec_button"],
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elem_classes="big-button",
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artist_info_text = gr.Markdown("")
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artist_info_image = gr.Image(type="url", label="Artist Image")
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gr.Markdown(lambda: MESSAGES[selected_language.value]["chat_title"])
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chat_history = gr.Chatbot(label="Music Chat")
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with gr.Row():
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chat_input = gr.Textbox(
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placeholder=lambda: MESSAGES[selected_language.value]["chat_placeholder"],
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label="Your question"
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)
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chat_btn = gr.Button(
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lambda: MESSAGES[selected_language.value]["chat_button"],
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variant="primary"
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)
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with gr.Row():
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history_limit = gr.Slider(
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minimum=5, maximum=50, value=10, step=5,
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def update_audio_status(audio_path):
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lang = LANGUAGES.get(selected_language.value, "en")
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if audio_path:
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return "ready", MESSAGES[lang]["audio_loaded"]
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return "no_audio", MESSAGES[lang]["no_audio"]
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result = recognize_song(audio_path)
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if "error" in result:
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return None, "", "", MESSAGES[lang]["error"].format(error=result['error']), ""
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recognition_msg = f"### 🎵 {result['Song']}\n\n"
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return result, recognition_msg, artist_info_content, MESSAGES[lang]["recognized"], artist_info['image'] or ""
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def process_chat(query, language_name, song_info):
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lang = LANGUAGES.get(language_name, "en")
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if not query or not song_info:
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return []
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try:
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response = chat_with_assistant(query, "", lang)
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return [(query, response)]
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except Exception as e:
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return [(query, f"Sorry, I couldn't process your request: {str(e)}")]
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def view_history_process(limit, language_name):
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return view_song_history(int(limit), LANGUAGES.get(language_name, "en"))
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gr.update(label=MESSAGES[lang]["language_label"]),
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MESSAGES[lang]["rec_button"],
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MESSAGES[lang]["recognize_button"],
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MESSAGES[lang]["chat_title"],
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gr.update(placeholder=MESSAGES[lang]["chat_placeholder"]),
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MESSAGES[lang]["chat_button"],
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gr.update(label=MESSAGES[lang]["history_limit_label"]),
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MESSAGES[lang]["history_button"]
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)
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language_dropdown.change(
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fn=update_language,
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inputs=[language_dropdown],
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outputs=[demo.get_component(0), demo.get_component(1), language_dropdown, record_btn, recognize_btn, demo.get_component(8), chat_input, chat_btn, history_limit, view_history_btn]
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)
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record_btn.click(
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outputs=[song_info_state, recognition_results, artist_info_text, audio_status_msg, artist_info_image]
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)
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chat_btn.click(
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fn=process_chat,
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inputs=[chat_input, language_dropdown, song_info_state],
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outputs=[chat_history]
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).then(
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fn=lambda: "",
|
395 |
+
inputs=[],
|
396 |
+
outputs=[chat_input]
|
397 |
+
)
|
398 |
+
|
399 |
view_history_btn.click(
|
400 |
fn=view_history_process,
|
401 |
inputs=[history_limit, language_dropdown],
|