Update components.ipynb

PacktPublishing · Nov 17, 2023 · 7e05015 · 7e05015
1 parent f305785
commit 7e05015
Showing 1 changed file with 13 additions and 103 deletions.
diff --git a/ch3/jupyter-notebooks/components.ipynb b/ch3/jupyter-notebooks/components.ipynb
@@ -44,39 +44,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Calculating embeddings:   0%|          | 0/1 [00:00<?, ?it/s]"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Calculating embeddings: 100%|██████████| 1/1 [00:00<00:00,  1.86it/s]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[0.0015798426466062665, 0.0059846313670277596]\n",
-      "[0.017629027366638184, -0.022774461656808853]\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from haystack.preview import Document\n",
     "from haystack.preview.components.embedders import OpenAIDocumentEmbedder\n",
@@ -111,23 +81,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "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": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result"
    ]
@@ -141,21 +97,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result['metadata']"
    ]
@@ -176,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -199,20 +143,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dict_keys(['embedding', 'metadata'])"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result_text.keys()"
    ]
@@ -226,41 +159,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[0.017020374536514282, -0.023255806416273117]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result_text['embedding'][0:2]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'model': 'text-embedding-ada-002-v2',\n",
-       " 'usage': {'prompt_tokens': 4, 'total_tokens': 4}}"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result_text['metadata']"
    ]