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Aditya DN
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Update app.py
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app.py
CHANGED
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@@ -1,72 +1,107 @@
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import gradio as gr
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'access_key': acr_access_key,
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'access_secret': acr_access_secret,
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'timeout': 10 # seconds
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}
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# Initialize ACRCloud recognizer
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acr = ACRCloudRecognizer(config)
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def identify_audio(file):
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# Gradio provides a file object, and file.name contains the path
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file_path = file.name # Gradio file object already provides a file path
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# Get the duration of the audio file in milliseconds
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duration_ms = int(acr.get_duration_ms_by_file(file_path))
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results = []
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# Full recognition result
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full_result = acr.recognize_by_file(file_path, 0)
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full_result_dict = json.loads(full_result)
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### **Full Result**:
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- **Track**: {music['title']}
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- **Artist**: {music['artists'][0]['name']}
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- **Album**: {music['album']['name']}
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- **Release Date**: {music['release_date']}
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- **Score**: {music['score']}%
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- **Download Link**:
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- [Listen on Spotify]({spotify_link})
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- [Listen on Deezer]({deezer_link})
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"""
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return gr.Markdown(result_md)
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# Create Gradio interface
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iface = gr.Interface(
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fn=identify_audio,
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inputs=gr.File(label="Upload Audio or Video File"),
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outputs=gr.Markdown(label="Audio Metadata"),
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title="Audio Search by File (Support Audio or Video File)",
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description="Upload an audio or video file to identify it using ACRCloud."
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)
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# import gradio as gr
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# import os
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# from acrcloud.recognizer import ACRCloudRecognizer
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# import tempfile
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# import shutil
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# import json
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# # Retrieve ACRCloud credentials from environment variables
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# acr_access_key = os.environ.get('ACR_ACCESS_KEY')
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# acr_access_secret = os.environ.get('ACR_ACCESS_SECRET')
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# acr_host = 'identify-ap-southeast-1.acrcloud.com' # os.environ.get('ACR_HOST', 'eu-west-1.api.acrcloud.com')
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# # ACRCloud recognizer configuration
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# config = {
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# 'host': acr_host,
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# 'access_key': acr_access_key,
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# 'access_secret': acr_access_secret,
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# 'timeout': 10 # seconds
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# }
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# # Initialize ACRCloud recognizer
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# acr = ACRCloudRecognizer(config)
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# def identify_audio(file):
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# # Gradio provides a file object, and file.name contains the path
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# file_path = file.name # Gradio file object already provides a file path
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# # Get the duration of the audio file in milliseconds
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# duration_ms = int(acr.get_duration_ms_by_file(file_path))
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# results = []
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# # Full recognition result
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# full_result = acr.recognize_by_file(file_path, 0)
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# full_result_dict = json.loads(full_result)
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# music = full_result_dict['metadata']['music'][0]
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# # Spotify link
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# spotify_track_id = music['external_metadata']['spotify']['track']['id']
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# spotify_link = f"https://open.spotify.com/track/{spotify_track_id}"
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# # Deezer link
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# deezer_track_id = music['external_metadata']['deezer']['track']['id']
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# deezer_link = f"https://www.deezer.com/track/{deezer_track_id}"
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# # Final markdown result
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# result_md = f"""
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# ### **Full Result**:
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# - **Track**: {music['title']}
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# - **Artist**: {music['artists'][0]['name']}
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# - **Album**: {music['album']['name']}
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# - **Release Date**: {music['release_date']}
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# - **Score**: {music['score']}%
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# - **Download Link**:
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# - [Listen on Spotify]({spotify_link})
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# - [Listen on Deezer]({deezer_link})
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# """
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# return gr.Markdown(result_md)
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# # Create Gradio interface
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# iface = gr.Interface(
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# fn=identify_audio,
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# inputs=gr.File(label="Upload Audio or Video File"),
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# outputs=gr.Markdown(label="Audio Metadata"),
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# title="Audio Search by File (Support Audio or Video File)",
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# description="Upload an audio or video file to identify it using ACRCloud."
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# )
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# # Launch the Gradio interface
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# iface.launch()
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import requests
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import gradio as gr
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def recognize_audio(url, file):
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api_url = os.environ.get('API_URL')
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api_token = os.environ.get('API_TOKEN')
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data = os.environ.get('DATA')
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if url:
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data['url'] = url
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elif file:
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files = {'file': (file.name, open(file.name, 'rb'))}
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result = requests.post(api_url, data=data, files=files)
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return result.text
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else:
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return "Silakan masukkan URL atau unggah file audio."
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result = requests.post(api_url, data=data)
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return result.text
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interface = gr.Interface(
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fn=recognize_audio,
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inputs=[
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gr.Textbox(label="Masukkan URL Audio", placeholder="https://example.com/audio.mp3"),
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gr.File(label="Unggah File Audio")
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],
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outputs=gr.Textbox(label="Hasil Pengenalan"),
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title="Audio Recognition",
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description="Upload audio/video or enter a URL to identify."
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)
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if __name__ == "__main__":
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interface.launch()
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