Update app.py

app.py

@@ -293,7 +293,7 @@ def compute_embeddings(texts, _model):
     return _model.encode(texts, show_progress_bar=True)
 
 # Semantic search
-def semantic_search(query, embeddings, model, threshold=0.7):
+def semantic_search(query, embeddings, model, threshold=0.5):
     query_embedding = model.encode([query])
     sims = cosine_similarity(query_embedding, embeddings)[0]
     return [(i, s) for i, s in enumerate(sims) if s > threshold]