Update app.py

app.py

@@ -104,36 +104,6 @@ with gr.Blocks(title="CryptoSphere AI Agent") as interface:
         )
 
 interface.launch()
-from langchain_community.vectorstores import FAISS
-from langchain.embeddings import HuggingFaceEmbeddings
 
-# Load FAISS DB at startup
-emb = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
-db = FAISS.load_local("faiss_blockchain", emb, allow_dangerous_deserialization=True)
-
-def blockchain_query(user_input):
-    try:
-        # RAG retrieval
-        docs = db.similarity_search(user_input, k=3)
-        context = "\n\n".join([d.page_content for d in docs])
-
-        final_prompt = f"""
-User question: {user_input}
-
-Relevant blockchain context:
-{context}
-
-Answer using ONLY the context + your own understanding.
-Be concise and technically correct.
-"""
-
-        response = client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
-            messages=[{"role":"user", "content": final_prompt}]
-        )
-        return response.choices[0].message.content
-
-    except Exception as e:
-        return f"❌ Error: {e}"