From e9215182d2a16cf0c2ca5822f0a237ad1723ba8b Mon Sep 17 00:00:00 2001
From: Carlos Bazaga <cabazaga@gmail.com>
Date: Tue, 12 Aug 2025 01:17:17 +0200
Subject: [PATCH 1/3] Updated requirements and Anaconda environment files.

---
 environment.yml  | 1 +
 requirements.txt | 1 +
 2 files changed, 2 insertions(+)

diff --git a/environment.yml b/environment.yml
index 470b64b..3d39950 100644
--- a/environment.yml
+++ b/environment.yml
@@ -44,3 +44,4 @@ dependencies:
     - twilio
     - pydub
     - protobuf==3.20.2
+    - wandb
diff --git a/requirements.txt b/requirements.txt
index edcb3de..9d62d7d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -36,3 +36,4 @@ speedtest-cli
 sentence_transformers
 feedparser
 protobuf==3.20.2
+wandb

From 54cd9cb24d8e00556f1f24b0877019e02a628334 Mon Sep 17 00:00:00 2001
From: Carlos Bazaga <cabazaga@gmail.com>
Date: Tue, 12 Aug 2025 01:21:56 +0200
Subject: [PATCH 2/3] Updated gitignore file to exclude WandB local
 synchronization data.

During the OpenAI -> WandB sync process the library  downloads locally the job's data.
---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index a47cefc..8a77daf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -189,3 +189,6 @@ nohup.out
 *.png
 
 scraper_cache/
+
+# WandB local sync data.
+wandb/

From c663379828e31992e9c3d9ffcd56f4882a1313b4 Mon Sep 17 00:00:00 2001
From: Carlos Bazaga <cabazaga@gmail.com>
Date: Tue, 12 Aug 2025 01:26:22 +0200
Subject: [PATCH 3/3] Update Week 6 Day 5 Notebook to make use of WandB sync.

---
 week6/day5.ipynb | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/week6/day5.ipynb b/week6/day5.ipynb
index 5d5619e..14abeab 100644
--- a/week6/day5.ipynb
+++ b/week6/day5.ipynb
@@ -149,7 +149,7 @@
    "source": [
     "# First let's work on a good prompt for a Frontier model\n",
     "# Notice that I'm removing the \" to the nearest dollar\"\n",
-    "# When we train our own models, we'll need to make the problem as easy as possible, \n",
+    "# When we train our own models, we'll need to make the problem as easy as possible,\n",
     "# but a Frontier model needs no such simplification.\n",
     "\n",
     "def messages_for(item):\n",
@@ -393,6 +393,22 @@
     "openai.fine_tuning.jobs.list_events(fine_tuning_job_id=job_id, limit=10).data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b19ea9e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import wandb\n",
+    "from wandb.integration.openai.fine_tuning import WandbLogger\n",
+    "\n",
+    "# Log in to Weights & Biases.\n",
+    "wandb.login()\n",
+    "# Sync the fine-tuning job with Weights & Biases.\n",
+    "WandbLogger.sync(fine_tune_job_id=job_id, project=\"gpt-pricer\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "066fef03-8338-4526-9df3-89b649ad4f0a",
@@ -490,7 +506,7 @@
     "\n",
     "def gpt_fine_tuned(item):\n",
     "    response = openai.chat.completions.create(\n",
-    "        model=fine_tuned_model_name, \n",
+    "        model=fine_tuned_model_name,\n",
     "        messages=messages_for(item),\n",
     "        seed=42,\n",
     "        max_tokens=7\n",