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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import anvil.server\n",
"import openai\n",
"import pathlib\n",
"import textwrap\n",
"import google.generativeai as genai #comment this for local deployment and uncomment dummy def below\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def compress_bool_list(bools):\n",
" compressed_bits = np.packbits(bools,bitorder='big')\n",
" return [compressed_bits,len(bools)]\n",
"\n",
"def uncompress_bool_list(log):\n",
" log[0]=np.array(log[0],dtype=np.uint8)\n",
" return [bool(b) for b in np.unpackbits(log[0],bitorder='big')[:log[1]]]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def call_gemini(text,key):\n",
" # response=f'calling gemini with key {key} and text {text}'\n",
" # return response\n",
" genai.configure(api_key=key)\n",
" model = genai.GenerativeModel('gemini-pro')\n",
" try:\n",
" response = model.generate_content(text)\n",
" retval=response.text\n",
" except Exception as e:\n",
" return -1,str(e)\n",
" return 0,retval"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def call_gpt(prompt,key,model):\n",
" openai.api_key=key\n",
" try:\n",
" messages=[{\"role\": \"system\", \"content\": \"You are a helpful assistant.\"}]\n",
" messages+=[{\"role\": \"user\", \"content\": prompt}]\n",
" completions=openai.chat.completions.create( #for new version >.28 ) \n",
" # completions=openai.ChatCompletion.create(\n",
" model=model, \n",
" messages=messages)\n",
" # prediction=completions['choices'][0]['message']['content']\n",
" prediction=completions.choices[0].message.content.strip() # for new version >.28\n",
" except Exception as e:\n",
" return -1,str(e)\n",
" return 0,prediction"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "py310all",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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