File size: 7,200 Bytes
dcef704
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "\n",
    "def gpt3_endpoint(prompt):\n",
    "    api_endpoint = \"https://api.openai.com/v1/engines/text-davinci-003/completions\"\n",
    "    api_key = \"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\"\n",
    "\n",
    "    headers = {\n",
    "        \"Content-Type\": \"application/json\",\n",
    "        \"Authorization\": f\"Bearer {api_key}\"\n",
    "    }\n",
    "\n",
    "    data = {\n",
    "        \"prompt\": prompt,\n",
    "        \"max_tokens\": 200,\n",
    "        \"temperature\": 0.8\n",
    "    }\n",
    "\n",
    "    response = requests.post(api_endpoint, headers=headers, json=data)\n",
    "    generated_text = response.json()[\"choices\"][0][\"text\"]\n",
    "    return generated_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nAre you ready to take your business to the next level? Our startup is here to help you do just that with our revolutionary software powered with GPT3. We are revolutionizing the AI industry by empowering businesses with the power of next-gen technology. Our software uses GPT3 to generate natural language processing and generate insights that can be used to improve your business in ways you never thought possible. We are here to help you unlock the power of AI and take your business to the next level.'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Write a one minute pitch with innovative tone for a startup with the following info:\n",
      "    what does the startup do? Creating software powered with GPT3\n",
      "    industry: AI\n",
      "    audience of the pitch: clients\n",
      "    vision of the startup: Empower businesses with the power of next-gen technology\n",
      "    \n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"\n",
    "Write a one minute pitch with innovative tone for a startup with the following info:\n",
    "what does the startup do? Creating software powered with GPT3\n",
    "industry: AI\n",
    "audience of the pitch: clients\n",
    "vision of the startup: Empower businesses with the power of next-gen technology\n",
    "\"\"\"\n",
    "gpt3_endpoint(prompt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Textbox, please remove them: {'headers': ['q1']}\n",
      "  warnings.warn(\n",
      "c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Textbox, please remove them: {'headers': ['q2']}\n",
      "  warnings.warn(\n",
      "c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Textbox, please remove them: {'headers': ['q5']}\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7888\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://127.0.0.1:7888/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gradio as gr\n",
    "\n",
    "#the first module becomes text1, the second module file1\n",
    "def greet(length, name, do, tone, audience, vision): \n",
    "    prompt = f\"\"\"\n",
    "    Write a {length} with {tone} tone for a startup with the following info:\n",
    "    The name of the startup: {name}\n",
    "    what does the startup do? {do}\n",
    "    audience of the pitch: {audience}\n",
    "    vision of the startup: {vision}\n",
    "    \"\"\"\n",
    "    return gpt3_endpoint(prompt).replace('\\n', ' ').strip()\n",
    "\n",
    "# iface = gr.Interface(\n",
    "#     fn=greet,\n",
    "#     title='GPT3 startup pitch writer',\n",
    "#     inputs=[\n",
    "#         gr.Radio([\"3-minute pitch\", \"1-minute pitch\", \"sentence\"], label=\"length\", value='sentence'),\n",
    "#         gr.Text(headers=[\"q1\"], label=\"What is the name of your Startup?\", value=\"Goliath AI Consulting\"),\n",
    "#         gr.Text(headers=[\"q2\"], label=\"What does your startup do?\", value='Creating software powered with GPT3'),\n",
    "#         gr.Radio([\"professional\", \"funny\", \"innovative\", \"challenging\"], label=\"Tone\", value='innovative'),\n",
    "#         gr.Radio([\"clients\", \"VCs\", \"social media\"], label=\"Pitch Audience\", value='clients'),\n",
    "#         gr.Text(headers=[\"q5\"], label=\"What is the vision of your company?\", value='Empower businesses with the power of next-gen technology')\n",
    "#     ],\n",
    "#     outputs='text'\n",
    "# )\n",
    "# iface.launch(share=False)\n",
    "#BUG, if we try to run ONLY it on local without using share=True returns blank screen, but by sharing it it also work on localhost\n",
    "\n",
    "\n",
    "iface = gr.Interface(\n",
    "    fn=greet,\n",
    "    title='GPT3 startup pitch writer',\n",
    "    inputs=[\n",
    "        gr.Radio([\"3-minute pitch\", \"1-minute pitch\", \"sentence\"], label=\"length\"),\n",
    "        gr.Text(headers=[\"q1\"], label=\"What is the name of your Startup?\"),\n",
    "        gr.Text(headers=[\"q2\"], label=\"What does your startup do?\"),\n",
    "        gr.Radio([\"professional\", \"funny\", \"innovative\", \"challenging\"], label=\"Tone\"),\n",
    "        gr.Radio([\"clients\", \"VCs\", \"social media\"], label=\"Pitch Audience\"),\n",
    "        gr.Text(headers=[\"q5\"], label=\"What is the vision of your company?\")\n",
    "    ],\n",
    "    outputs='text'\n",
    ")\n",
    "iface.launch(share=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}