Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer, util
+import faiss
+import numpy as np
+
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+memory = []
+
+index = faiss.IndexFlatL2(384)
+
+
+def add_message(msg):
+    emb = model.encode([msg])
+    index.add(np.array(emb, dtype='float32'))
+    memory.append(msg)
+    return f"Memory saved. Total: {len(memory)}"
+
+def recall(query):
+    emb = model.encode([query])
+    D, I = index.search(np.array(emb, dtype='float32'), 1)
+    return memory[I[0][0]] if memory else "Nothing in memory."
+
+ui = gr.Interface(fn=recall, inputs="text", outputs="text", title="Memory Recall")
+ui.launch()