execute component notebook

PacktPublishing · Nov 17, 2023 · 08e991f · 08e991f
1 parent 7e05015
commit 08e991f
Showing 1 changed file with 97 additions and 19 deletions.
diff --git a/ch3/jupyter-notebooks/components.ipynb b/ch3/jupyter-notebooks/components.ipynb
@@ -44,9 +44,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Calculating embeddings: 100%|██████████| 1/1 [00:01<00:00,  1.21s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.001609589671716094, 0.005959704983979464]\n",
+      "[0.017629027366638184, -0.022774461656808853]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "from haystack.preview import Document\n",
     "from haystack.preview.components.embedders import OpenAIDocumentEmbedder\n",
@@ -81,9 +104,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'documents': [Document(id='2e3218009b01cfc57f865bbf81fa70de81b5ebae02c4cc7092e46ffde03f3c49', content='The quick brown fox jumps over the lazy dog.', dataframe=None, blob=None, meta={}, score=None),\n",
+       "  Document(id='63a06e3e867cb70e52a99c00b2de17fe531431c98e7d851268be01d341ea9f20', content='To be or not to be, that is the question.', dataframe=None, blob=None, meta={}, score=None)],\n",
+       " 'metadata': {'model': 'text-embedding-ada-002-v2',\n",
+       "  'usage': {'prompt_tokens': 22, 'total_tokens': 22}}}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result"
    ]
@@ -97,9 +134,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'model': 'text-embedding-ada-002-v2',\n",
+       " 'usage': {'prompt_tokens': 22, 'total_tokens': 22}}"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result['metadata']"
    ]
@@ -120,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,19 +182,25 @@
     "text_to_embed = \"I love pizza!\"\n",
     "\n",
     "# Embed the text and print the result\n",
-    "result_text= text_embedder.run(text_to_embed)\n",
-    "\n",
-    "# Output will include the embedding vector and metadata\n",
-    "# {'embedding': [0.017020374536514282, -0.023255806416273117, ...],\n",
-    "#  'metadata': {'model': 'text-embedding-ada-002',\n",
-    "#               'usage': {'prompt_tokens': 4, 'total_tokens': 4}}}\n"
+    "result_text= text_embedder.run(text_to_embed)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys(['embedding', 'metadata'])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result_text.keys()"
    ]
@@ -159,18 +214,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0.017020374536514282, -0.023255806416273117]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result_text['embedding'][0:2]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'model': 'text-embedding-ada-002-v2',\n",
+       " 'usage': {'prompt_tokens': 4, 'total_tokens': 4}}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result_text['metadata']"
    ]