removed secrets

task5_model_evaluation/Can_policy_ensemble_query_with_evaluation (1).ipynb

@@ -132,7 +132,7 @@
         "\n",
         "## Note: Please replace API keys with your own API keys here.\n",
         "\n",
-        "Settings.llm = Groq(model=\"llama-3.1-8b-instant\", api_key=\"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\")\n",
+        "Settings.llm = Groq(model=\"llama-3.1-8b-instant\", api_key=\"your key\")\n",
         "Settings.chunk_size = 1024\n",
         "embed_model = HuggingFaceEmbedding(model_name=\"thenlper/gte-large\")\n",
         "Settings.embed_model = embed_model\n",
@@ -459,7 +459,7 @@
         "import nest_asyncio\n",
         "nest_asyncio.apply()\n",
         "# create llm\n",
-        "os.environ[\"GOOGLE_API_KEY\"] = \"AIzaSyC_UnbyMmhvklBRyjLvdEWXuhXim_BX0fk\"\n",
+        "os.environ[\"GOOGLE_API_KEY\"] = \"your key\"\n",
         "Settings.llm = Gemini(model=\"models/gemini-pro\", temperature=0)\n",
         "def question_dataset_generator(document):\n",
         "  dataset_generator = RagDatasetGenerator.from_documents(\n",
@@ -533,7 +533,7 @@
         "import os\n",
         "from llama_index.llms.gemini import Gemini\n",
         "\n",
-        "os.environ[\"GOOGLE_API_KEY\"] = \"AIzaSyClIR8gLfV7DhuF8idI8BG6PuGLdEo2tIM\"\n",
+        "os.environ[\"GOOGLE_API_KEY\"] = \"your key\"\n",
         "llm = Gemini(model=\"models/gemini-pro\", temperature=0)\n",
         "relevancy_evaluator = RelevancyEvaluator(llm=llm)\n",
         "faithfulness_evaluator = FaithfulnessEvaluator(llm=llm)\n",

task5_model_evaluation/evaluation.ipynb

@@ -45,7 +45,6 @@
     "import nest_asyncio\n",
     "nest_asyncio.apply()\n",
     "# create llm\n",
-    "os.environ[\"GOOGLE_API_KEY\"] = \"AIzaSyC_UnbyMmhvklBRyjLvdEWXuhXim_BX0fk\"\n",
     "llm = Gemini(model=\"models/gemini-pro\", temperature=0)\n",
     "\n",
     "def question_dataset_generator(document):\n",