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Index.py

@@ -227,7 +227,7 @@ def rag(domain: str, question: str):
     embeddings = _load_embeddings_from_db(db_exists, domain)
     # Create extractor instance
     #extractor = Extractor(embeddings, "google/flan-t5-base")
-    extractor = Extractor(embeddings, "TheBloke/Llama-2-7B-GGUF/llama-2-7b.Q4_0.gguf")
+    extractor = Extractor(embeddings, "TheBloke/Llama-2-7B-GGUF/blob/main/llama-2-7b.Q4_K_M.gguf")
     # llm = HuggingFaceHub(
     #     repo_id="google/flan-t5-xxl",
     #     model_kwargs={"temperature": 1, "max_length": 1000000},

requirements.txt

@@ -9,4 +9,5 @@ langchain==0.0.301
 langsmith==0.0.40
 bs4==0.0.1
 pandas==2.1.1
-SQLAlchemy==2.0.21
+SQLAlchemy==2.0.21
+llama-cpp-python