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Chore/fix openai update #179

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merged 2 commits into from
Nov 14, 2023
Merged

Chore/fix openai update #179

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c3d5a46
Upgraded OpenAI Usage
nitya Nov 14, 2023
e13a9f5
Clear Outputs After Testing
nitya Nov 14, 2023
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44 changes: 19 additions & 25 deletions 04-prompt-engineering-fundamentals/1-introduction.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -76,48 +76,42 @@
"metadata": {},
"outputs": [],
"source": [
"# Run this as a common starting point for all the exercises below\n",
"# It sets the OpenAI API key and uses a helper function that sets the relevant model and parameters\n",
"# The OpenAI SDK was updated on Nov 8, 2023 with new guidance for migration\n",
"# See: https://github.com/openai/openai-python/discussions/742\n",
"\n",
"import openai\n",
"## Updated\n",
"import os\n",
"import openai\n",
"from openai import OpenAI\n",
"\n",
"# Expects OPENAI_API_KEY in env variables \n",
"# For GitHub Codespaces: set this as Codespaces secret => shows up as env var in OS\n",
"# For Docker Desktop: create a .env file (and .gitignore it explicitly to be safe) => shows up as env var from load_dotenv\n",
"from dotenv import load_dotenv, find_dotenv\n",
"_ = load_dotenv(find_dotenv())\n",
"\n",
"# Note that we can set different env variables to different OPENAI keys and just map the right one to openai.api_key here\n",
"# Example: have both OPENAI_API_KEY (for OpenAI) and AOAI_API_KEY (for Azure OpenAI) as options \n",
"openai.api_key = os.getenv('OPENAI_API_KEY')\n",
"\n",
"# Print Environment Variables\n",
"#for var in os.environ:\n",
"# print(f\"{var}: {os.environ[var]}\")\n",
"client = OpenAI(\n",
" api_key=os.environ['OPENAI_API_KEY'], # this is also the default, it can be omitted\n",
")\n",
"\n",
"## Updated\n",
"def get_completion(prompt, model=\"gpt-3.5-turbo\"):\n",
" messages = [{\"role\": \"user\", \"content\": prompt}]\n",
" response = openai.ChatCompletion.create(\n",
" response = openai.chat.completions.create(\n",
" model=model,\n",
" messages=messages,\n",
" temperature=0, # this is the degree of randomness of the model's output\n",
" max_tokens=1024\n",
" )\n",
" return response.choices[0].message[\"content\"]\n",
" return response.choices[0].message.content\n",
"\n",
"## ---------- Call the helper method\n",
"\n",
"## Set the primary content or simple prompt text here\n",
"### 1. Set primary content or prompt text\n",
"text = f\"\"\"\n",
"oh say can you see\n",
"\"\"\"\n",
"\n",
"## This uses a template that embeds the text \n",
"## allowing you to add additional content like instructions, cues, examples\n",
"### 2. Use that in the prompt template below\n",
"prompt = f\"\"\"\n",
"```{text}```\n",
"\"\"\"\n",
"\n",
"## Run the prompt\n",
"## 3. Run the prompt\n",
"response = get_completion(prompt)\n",
"print(response)"
]
Expand Down Expand Up @@ -216,7 +210,7 @@
"metadata": {},
"outputs": [],
"source": [
"response = openai.ChatCompletion.create(\n",
"response = openai.chat.completions.create(\n",
" model=\"gpt-3.5-turbo\",\n",
" messages=[\n",
" {\"role\": \"system\", \"content\": \"You are a sarcastic assistant.\"},\n",
Expand All @@ -225,7 +219,7 @@
" {\"role\": \"user\", \"content\": \"Where was it played?\"}\n",
" ]\n",
")\n",
"print(response.choices[0].message[\"content\"])"
"print(response.choices[0].message.content)"
]
},
{
Expand All @@ -239,7 +233,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand Down