Upload config.py

config.py

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+import os
+
+#  Embedding 
+EMBEDDING_MODEL = "all-MiniLM-L6-v2"   # Fast, lightweight, great for semantic search
+
+#  LLM 
+LLM_MODEL = "google/flan-t5-base"       # Instruction-tuned, actually answers questions on CPU
+
+# Chunking 
+CHUNK_SIZE = 500
+CHUNK_OVERLAP = 100
+MIN_CHUNK_SIZE = 100                    # Skip tiny useless chunks
+
+# Retrieval 
+TOP_K = 3
+
+#  Generation
+MAX_NEW_TOKENS = 200
+TEMPERATURE = 0.2                       # Low = more factual, less random
+
+#  Storage 
+VECTOR_STORE_PATH = "vectorstore/"
+
+#  App 
+DEVICE = "cpu"
+SUPPORTED_FORMATS = [".txt", ".pdf"]
+MAX_FILE_SIZE_MB = 10