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app.py

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+from sentence_transformers import SentenceTransformer, util
+from huggingface_hub import hf_hub_download
+import os
+import pickle
+import pandas as pd
+import gradio as gr
+
+pd.options.mode.chained_assignment = None  # Turn off SettingWithCopyWarning
+
+auth_token = os.environ.get("TOKEN_FROM_SECRET") or True
+pickled = pickle.load(open(hf_hub_download("NimaBoscarino/playlist-generator", repo_type="dataset", filename="clean-large_embeddings_msmarco-MiniLM-L-6-v3.pkl"), "rb"))
+songs = pd.read_csv(hf_hub_download("NimaBoscarino/playlist-generator", repo_type="dataset", filename="songs_new.csv"))
+verses = pd.read_csv(hf_hub_download("NimaBoscarino/playlist-generator-private", repo_type="dataset", filename="verses.csv", use_auth_token=auth_token))
+lyrics = pd.read_csv(hf_hub_download("NimaBoscarino/playlist-generator-private", repo_type="dataset", filename="lyrics_new.csv", use_auth_token=auth_token))
+
+embedder = SentenceTransformer('msmarco-MiniLM-L-6-v3')
+
+song_ids = pickled["song_ids"]
+corpus_embeddings = pickled["embeddings"]
+
+
+def generate_playlist(prompt):
+    prompt_embedding = embedder.encode(prompt, convert_to_tensor=True)
+    hits = util.semantic_search(prompt_embedding, corpus_embeddings, top_k=20)
+    hits = pd.DataFrame(hits[0], columns=['corpus_id', 'score'])
+
+    verse_match = verses.iloc[hits['corpus_id']]
+    verse_match = verse_match.drop_duplicates(subset=["song_id"])
+    song_match = songs[songs["song_id"].isin(verse_match["song_id"].values)]
+    song_match.song_id = pd.Categorical(song_match.song_id, categories=verse_match["song_id"].values)
+    song_match = song_match.sort_values("song_id")
+    song_match = song_match[0:9]  # Only grab the top 9
+
+    song_names = list(song_match["full_title"])
+    song_art = list(song_match["art"].fillna("https://i.imgur.com/bgCDfT1.jpg"))
+    images = [gr.Image.update(value=art, visible=True) for art in song_art]
+
+    return (
+        gr.Radio.update(label="Songs", interactive=True, choices=song_names),
+        *images
+    )
+
+
+def set_lyrics(full_title):
+    lyrics_text = lyrics[lyrics["song_id"].isin(songs[songs["full_title"] == full_title]["song_id"])]["text"].iloc[0]
+    return gr.Textbox.update(value=lyrics_text)
+
+
+def set_example_prompt(example):
+    return gr.TextArea.update(value=example[0])
+
+
+demo = gr.Blocks()
+
+with demo:
+    gr.Markdown(
+        """
+        # Playlist Generator 📻 🎵
+        """)
+
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown(
+                """
+                Enter a prompt and generate a playlist based on ✨semantic similarity✨
+                This was built using Sentence Transformers and Gradio – blog post coming soon!
+                """)
+
+            song_prompt = gr.TextArea(
+                value="Running wild and free",
+                placeholder="Enter a song prompt, or choose an example"
+            )
+            example_prompts = gr.Dataset(
+                components=[song_prompt],
+                samples=[
+                    ["I feel nostalgic for the past"],
+                    ["Running wild and free"],
+                    ["I'm deeply in love with someone I just met!"],
+                    ["My friends mean the world to me"],
+                    ["Sometimes I feel like no one understands"],
+                ]
+            )
+
+        with gr.Column():
+            fetch_songs = gr.Button(value="Generate Your Playlist 🧑🏽‍🎤").style(full_width=True)
+
+            with gr.Row():
+                tile1 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile2 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile3 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+            with gr.Row():
+                tile4 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile5 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile6 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+            with gr.Row():
+                tile7 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile8 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+                tile9 = gr.Image(value="https://i.imgur.com/bgCDfT1.jpg", show_label=False, visible=True)
+
+            # Workaround because of the Gallery issues
+            tiles = [tile1, tile2, tile3, tile4, tile5, tile6, tile7, tile8, tile9]
+
+            song_option = gr.Radio(label="Songs", interactive=True, choices=None, type="value")
+
+        with gr.Column():
+            verse = gr.Textbox(label="Verse", placeholder="Select a song to see its lyrics")
+
+    fetch_songs.click(
+        fn=generate_playlist,
+        inputs=[song_prompt],
+        outputs=[song_option, *tiles],
+    )
+
+    example_prompts.click(
+        fn=set_example_prompt,
+        inputs=example_prompts,
+        outputs=example_prompts.components,
+    )
+
+    song_option.change(
+        fn=set_lyrics,
+        inputs=[song_option],
+        outputs=[verse]
+    )
+
+demo.launch()