o

rag.py

@@ -1,17 +1,19 @@
-# rag.py  (v7 – imports that exist in 0.3+ wheels)
+# rag.py  (v8 – exact imports in 0.3.7 wheels)
 from __future__ import annotations
 import os, uuid, tempfile, requests, shutil, re
 from pathlib import Path
 from functools import lru_cache
 from typing import List, Tuple
 from datasets import load_dataset
-from langchain.text_splitter import RecursiveCharacterTextSplitter   # ← exists in 0.3+
+from langchain.text_splitter import RecursiveCharacterTextSplitter   # ← exists in 0.3.7
 from langchain_community.vectorstores import FAISS
 from langchain_huggingface import HuggingFaceEmbeddings, HuggingFaceEndpoint
 from langchain_core.prompts import PromptTemplate
-from langchain.chains import RetrievalQA                            # ← exists in 0.3+
+from langchain.chains import RetrievalQA                            # ← exists in 0.3.7
 from supabase import create_client
-# ---------- config ----------
+
+
+#________________________config_________________#
 HF_DS = "NimrodDev/LD_Events2"
 EMBED_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
 LLM_MODEL = "microsoft/DialoGPT-medium"

requirements.txt

@@ -1,10 +1,10 @@
-flask
-langchain>=0.3.0
-langchain-community>=0.3.0
-langchain-huggingface>=0.3.0
-sentence-transformers
-faiss-cpu
-datasets
-supabase>=2.6
-python-dotenv
-gunicorn
+flask==3.0.3
+langchain==0.3.7
+langchain-community==0.3.7
+langchain-huggingface==0.1.2
+sentence-transformers==3.0.1
+faiss-cpu==1.9.0
+datasets==3.0.1
+supabase==2.6.0.post1
+python-dotenv==1.0.1
+gunicorn==23.0.0