File size: 2,046 Bytes
0fdb130
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cba1cb3c-c494-4d82-a5ef-1aa92422bc0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c598629b-d066-419d-86d6-184f612c3672",
   "metadata": {},
   "outputs": [],
   "source": [
    "API_URL = \"https://api-inference.huggingface.co/models/lxyuan/distilgpt2-finetuned-finance\"\n",
    "headers = {\"Authorization\": f\"Bearer {os.environ['HG_api_key']}\"}\n",
    "\n",
    "def query(payload):\n",
    "\tresponse = requests.post(API_URL, headers=headers, json=payload)\n",
    "\treturn response.json()\n",
    "\t\n",
    "output = query({\n",
    "\t\"inputs\": \"Can you please let us know more details about your \",\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de6cac32-cbd2-4372-a642-99841876b2db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'generated_text': 'Can you please let us know more details about your  private investment experience or any other strategies you utilize! \\n\\nThank you in advance for your participation! \\n\\nIf I had been able to give in to this community, I would have'}]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a7a4452-0f9a-4b1e-9efb-98c3d07de77a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}