Dream Decoder Space: app + requirements

app.py

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+import gradio as gr
+import numpy as np, pandas as pd
+from huggingface_hub import hf_hub_download
+from sentence_transformers import SentenceTransformer
+
+DATASET_REPO = "samvlad/dream-decoder-dataset"
+
+def _dl(name):
+    return hf_hub_download(repo_id=DATASET_REPO, filename=name, repo_type="dataset")
+
+# Load embeddings + a table (meta if present, else full dataset)
+emb_path = _dl("data/embeddings.npy")
+try:
+    table_path = _dl("data/meta.parquet")
+    meta = pd.read_parquet(table_path)[["dream_text","interpretation"]]
+except Exception:
+    table_path = _dl("data/dreams.parquet")
+    meta = pd.read_parquet(table_path)[["dream_text","interpretation"]]
+
+emb = np.load(emb_path)  # already normalized vectors
+encoder = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
+
+def top3_similar(text):
+    t = (text or "").strip()
+    if len(t) < 10:
+        return "Please paste a longer dream (>= 10 characters)."
+    q = encoder.encode([t], normalize_embeddings=True)
+    scores = (emb @ q.T).squeeze()
+    idx = np.argsort(-scores)[:3]
+    out = []
+    for i, j in enumerate(idx, 1):
+        row = meta.iloc[j]
+        out.append(
+            f"### #{i} • Similarity: {scores[j]:.3f}\n"
+            f"**Dream:** {row['dream_text']}\n\n"
+            f"**Interpretation:** {row['interpretation']}\n"
+        )
+    return "\n---\n".join(out)
+
+with gr.Blocks(fill_height=True) as demo:
+    gr.Markdown("# 🌙 Dream Decoder\nPaste a dream. We’ll find the 3 most similar dreams and show their interpretations.")
+    dream = gr.Textbox(label="Your dream", lines=7, placeholder="I was on a rooftop, running from a shadow...")
+    btn = gr.Button("Find 3 similar dreams")
+    out = gr.Markdown()
+    gr.Examples(
+        examples=[
+            "I was in a school hallway, hiding from a teacher. A mirror cracked while I was waiting, and I felt anxious yet hopeful.",
+            "I was at a beach at night, searching for my phone. A storm rolled in and I felt excited yet confused.",
+            "I was in an old house, escaping a fire. A baby cried and I felt lonely yet relieved.",
+        ],
+        inputs=[dream],
+        label="Try examples",
+    )
+    btn.click(top3_similar, dream, out)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio>=4.0,<5
+sentence-transformers>=3.0
+numpy>=1.26
+pandas>=2.2
+huggingface_hub>=0.23
+pyarrow>=15