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import gradio as gr
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import requests
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YOUTUBE_API_KEY = "AIzaSyCEZFjFEuqBsFDi0CV12BkFJgGl7Lo6qkQ"
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def recommend_music(emotion):
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youtube_url = "https://www.googleapis.com/youtube/v3/search"
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params = {
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"part": "snippet",
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"q": f"{emotion} songs",
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"type": "video",
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"maxResults": 4,
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"key": YOUTUBE_API_KEY
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}
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response = requests.get(youtube_url, params=params)
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if response.status_code == 200:
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items = response.json().get("items", [])
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results = ""
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for item in items:
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video_id = item["id"]["videoId"]
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title = item["snippet"]["title"]
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results += f"<p><a href='https://www.youtube.com/watch?v={video_id}' target='_blank'>{title}</a></p>"
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return results
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else:
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return "Failed to fetch music recommendations."
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iface = gr.Interface(
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fn=recommend_music,
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inputs=gr.Textbox(label="Detected Emotion"),
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outputs=gr.HTML(label="Recommended Songs"),
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title="🎶 Mood Based Music Recommender",
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description="Input your detected emotion from webcam to get song recommendations instantly 💖"
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)
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if __name__ == "__main__":
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iface.launch()
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