Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -41,6 +41,7 @@ def get_groq_api_key():
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def rrf_score(rank: int, k: int = RRF_K) -> float:
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return 1.0 / (k + rank)
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# ========================= MEMORY LAYER =========================
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class HybridMemory:
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def __init__(self):
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@@ -77,32 +78,47 @@ class HybridMemory:
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"timestamp": datetime.now().isoformat(),
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"type": memory_type,
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})
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if self.vector_memory is None:
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self.vector_memory = FAISS.from_texts([text], self.embeddings, metadatas=[metadata])
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else:
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self.vector_memory.add_texts([text], metadatas=[metadata])
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self._add_to_graph(text)
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self.save_memory()
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def _add_to_graph(self, text: str):
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try:
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nlp = st.session_state.get("nlp")
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if nlp:
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else:
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self.graph_memory.
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a, b = entities[i], entities[j]
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if self.graph_memory.has_edge(a, b):
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self.graph_memory[a][b]["weight"] += 1
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else:
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self.graph_memory.add_edge(a, b, weight=1)
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except:
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pass
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def retrieve_memory(self, query: str, top_k: int = 6):
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def rrf_score(rank: int, k: int = RRF_K) -> float:
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return 1.0 / (k + rank)
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# ========================= MEMORY LAYER =========================
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# ========================= MEMORY LAYER =========================
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class HybridMemory:
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def __init__(self):
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"timestamp": datetime.now().isoformat(),
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"type": memory_type,
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})
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# Add to Vector Memory
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if self.vector_memory is None:
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self.vector_memory = FAISS.from_texts([text], self.embeddings, metadatas=[metadata])
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else:
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self.vector_memory.add_texts([text], metadatas=[metadata])
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# Add to Graph Memory
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self._add_to_graph(text)
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self.save_memory()
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def _add_to_graph(self, text: str):
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"""Safely add entities to graph"""
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try:
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# Get nlp from session_state or load it directly
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nlp = st.session_state.get("nlp")
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if not nlp:
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nlp = load_spacy() # fallback
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st.session_state.nlp = nlp
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doc = nlp(text[:30000])
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entities = [ent.text.strip().lower() for ent in doc.ents if len(ent.text.strip()) > 1]
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if not entities:
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return # No entities found
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for ent in entities:
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if not self.graph_memory.has_node(ent):
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self.graph_memory.add_node(ent, count=1)
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else:
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self.graph_memory.nodes[ent]["count"] = self.graph_memory.nodes[ent].get("count", 0) + 1
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for i in range(len(entities)):
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for j in range(i + 1, len(entities)):
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a, b = entities[i], entities[j]
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if self.graph_memory.has_edge(a, b):
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self.graph_memory[a][b]["weight"] += 1
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else:
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self.graph_memory.add_edge(a, b, weight=1)
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except Exception as e:
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# st.warning(f"Graph memory update skipped: {e}") # uncomment for debug
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pass
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def retrieve_memory(self, query: str, top_k: int = 6):
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