colab links fix (#790)

meta-llama · Nov 16, 2024 · 4250439 · 4250439
2 parents b9fc106 + b579bd0
commit 4250439
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diff --git a/...ebooks/AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb b/...ebooks/AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb
@@ -5,7 +5,7 @@
    "id": "7a4b75bb-d60a-41e3-abca-1ca0f0bf1201",
    "metadata": {},
    "source": [
-    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/dlai/AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/DeepLearningai_Course_Notebooks/AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
    ]
   },
   {
@@ -63,7 +63,7 @@
    "outputs": [],
    "source": [
     "def get_legal_moves(\n",
-    "    \n",
+    "\n",
     ") -> Annotated[str, \"A list of legal moves in UCI format\"]:\n",
     "    return \"Possible moves are: \" + \",\".join(\n",
     "        [str(move) for move in board.legal_moves]\n",
@@ -86,7 +86,7 @@
     "    board.push_uci(str(move))\n",
     "    global made_move\n",
     "    made_move = True\n",
-    "    \n",
+    "\n",
     "    svg_str = chess.svg.board(\n",
     "            board,\n",
     "            arrows=[(move.from_square, move.to_square)],\n",
@@ -96,7 +96,7 @@
     "    display(\n",
     "        SVG(data=svg_str)\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    # Get the piece name.\n",
     "    piece = board.piece_at(move.to_square)\n",
     "    piece_symbol = piece.unicode_symbol()\n",
@@ -223,7 +223,7 @@
     "        name=\"get_legal_moves\",\n",
     "        description=\"Call this tool to get all legal moves in UCI format.\",\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    register_function(\n",
     "        make_move,\n",
     "        caller=caller,\n",

diff --git a/...epLearningai_Course_Notebooks/AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb b/...epLearningai_Course_Notebooks/AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb
@@ -5,7 +5,7 @@
    "id": "de56ee05-3b71-43c9-8cbf-6ad9b3233f38",
    "metadata": {},
    "source": [
-    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/dlai/AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/DeepLearningai_Course_Notebooks/AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
    ]
   },
   {
@@ -35,7 +35,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os \n",
+    "import os\n",
     "from groq import Groq\n",
     "\n",
     "os.environ['GROQ_API_KEY'] = 'your_groq_api_key' # get a free key at https://console.groq.com/keys"
@@ -48,7 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# a quick sanity test of calling Llama 3 70b on Groq \n",
+    "# a quick sanity test of calling Llama 3 70b on Groq\n",
     "# see https://console.groq.com/docs/text-chat for more info\n",
     "client = Groq()\n",
     "chat_completion = client.chat.completions.create(\n",
@@ -75,7 +75,7 @@
    "source": [
     "client = Groq()\n",
     "model = \"llama3-8b-8192\" # this model works with the prompt below only for the first simpler example; you'll see how to modify the prompt to make it work for a more complicated question\n",
-    "#model = \"llama3-70b-8192\" # this model works with the prompt below for both example questions \n",
+    "#model = \"llama3-70b-8192\" # this model works with the prompt below for both example questions\n",
     "\n",
     "class Agent:\n",
     "    def __init__(self, system=\"\"):\n",
@@ -95,8 +95,7 @@
     "                        model=model,\n",
     "                        temperature=0,\n",
     "                        messages=self.messages)\n",
-    "        return completion.choices[0].message.content\n",
-    "    "
+    "        return completion.choices[0].message.content\n"
    ]
   },
   {
@@ -151,7 +150,7 @@
     "    return eval(what)\n",
     "\n",
     "def average_dog_weight(name):\n",
-    "    if name in \"Scottish Terrier\": \n",
+    "    if name in \"Scottish Terrier\":\n",
     "        return(\"Scottish Terriers average 20 lbs\")\n",
     "    elif name in \"Border Collie\":\n",
     "        return(\"a Border Collies average weight is 37 lbs\")\n",
@@ -423,7 +422,7 @@
     "\n",
     "            # key to make the agent process fully automated:\n",
     "            # programtically call the external func with arguments, with the info returned by LLM\n",
-    "            observation = known_actions[action](action_input) \n",
+    "            observation = known_actions[action](action_input)\n",
     "\n",
     "            print(\"Observation:\", observation)\n",
     "            next_prompt = \"Observation: {}\".format(observation)\n",

diff --git a/...epLearningai_Course_Notebooks/Building_Agentic_RAG_with_Llamaindex_L1_Router_Engine.ipynb b/...epLearningai_Course_Notebooks/Building_Agentic_RAG_with_Llamaindex_L1_Router_Engine.ipynb
@@ -45,7 +45,7 @@
    },
    "outputs": [],
    "source": [
-    "import os \n",
+    "import os\n",
     "os.environ['GROQ_API_KEY'] = 'your_groq_api_key' # get a free key at https://console.groq.com/keys"
    ]
   },

diff --git a/...ngai_Course_Notebooks/Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb b/...ngai_Course_Notebooks/Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb
@@ -5,7 +5,7 @@
    "id": "2ba1b4ef-3b96-4e7e-b5d0-155b839db73c",
    "metadata": {},
    "source": [
-    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/dlai/Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+    "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/agents/DeepLearningai_Course_Notebooks/Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
    ]
   },
   {
@@ -62,7 +62,7 @@
    "outputs": [],
    "source": [
     "# https://console.groq.com/docs/tool-use#models\n",
-    "# Groq API endpoints support tool use for programmatic execution of specified operations through requests with explicitly defined \n",
+    "# Groq API endpoints support tool use for programmatic execution of specified operations through requests with explicitly defined\n",
     "# operations. With tool use, Groq API model endpoints deliver structured JSON output that can be used to directly invoke functions.\n",
     "\n",
     "from groq import Groq\n",
@@ -145,8 +145,8 @@
     "    model=\"llama3-70b-8192\",\n",
     "    messages=messages,\n",
     "    functions=functions,\n",
-    "    #tools=tools, # you can also replace functions with tools, as specified in https://console.groq.com/docs/tool-use \n",
-    "    max_tokens=4096, \n",
+    "    #tools=tools, # you can also replace functions with tools, as specified in https://console.groq.com/docs/tool-use\n",
+    "    max_tokens=4096,\n",
     "    temperature=0\n",
     ")"
    ]