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fix: upgrade deprecated openai api and model davinci to gpt-3.5-turbo #20

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fix: upgrade deprecated openai api and model davinci to gpt-3.5-turbo #20

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64 changes: 34 additions & 30 deletions research/code/Synthesize.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@
}
],
"source": [
"!pip install openai==0.28"
"!pip install \"openai>=1.0.0\"\n"
]
},
{
Expand All @@ -53,13 +53,13 @@
"text": [
"Collecting openai\n",
" Downloading openai-1.30.5-py3-none-any.whl (320 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m320.7/320.7 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m320.7/320.7 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.0.3)\n",
"Requirement already satisfied: anyio<5,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n",
"Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n",
"Collecting httpx<1,>=0.23.0 (from openai)\n",
" Downloading httpx-0.27.0-py3-none-any.whl (75 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.6/75.6 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m75.6/75.6 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (2.7.1)\n",
"Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from openai) (1.3.1)\n",
"Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.4)\n",
Expand All @@ -73,10 +73,10 @@
"Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2024.2.2)\n",
"Collecting httpcore==1.* (from httpx<1,>=0.23.0->openai)\n",
" Downloading httpcore-1.0.5-py3-none-any.whl (77 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting h11<0.15,>=0.13 (from httpcore==1.*->httpx<1,>=0.23.0->openai)\n",
" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai) (0.7.0)\n",
"Requirement already satisfied: pydantic-core==2.18.2 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai) (2.18.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n",
Expand All @@ -86,7 +86,7 @@
}
],
"source": [
"!pip install openai pandas"
"!pip install \"openai>=1.0.0\" pandas\n"
]
},
{
Expand All @@ -97,13 +97,15 @@
},
"outputs": [],
"source": [
"import openai\n",
"import os\n",
"from openai import OpenAI\n",
"import pandas as pd\n",
"import time\n",
"import random\n",
"\n",
"# Set up the OpenAI API key\n",
"openai.api_key = null"
"# Initialize the OpenAI client\n",
"# Make sure OPENAI_API_KEY is set in your environment variables\n",
"client = OpenAI(api_key=os.environ.get(\"OPENAI_API_KEY\", \"\"))\n"
]
},
{
Expand Down Expand Up @@ -164,42 +166,44 @@
" for feature in features:\n",
" for _ in range(num_reviews_per_combination):\n",
" prompt = random.choice(prompts).format(sentiment=sentiment, aspect=aspect)\n",
" response = openai.Completion.create(\n",
" # model=\"gpt-4\", # Use GPT-4\n",
" engine=\"davinci\", # Use GPT-3 (davinci)\n",
" messages=[\n",
" {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
" {\"role\": \"user\", \"content\": prompt}\n",
" ],\n",
" max_tokens=100,\n",
" n=1,\n",
" stop=None,\n",
" temperature=0.7\n",
" )\n",
" review = response.choices[0].message[\"content\"].strip()\n",
" reviews.append((review, sentiment, aspect, feature))\n",
" time.sleep(1) # To avoid rate limits, adjust based on your API rate limits\n",
" try:\n",
" response = client.chat.completions.create(\n",
" model=\"gpt-3.5-turbo\", # Updated to modern chat model\n",
" messages=[\n",
" {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
" {\"role\": \"user\", \"content\": prompt}\n",
" ],\n",
" max_tokens=100,\n",
" n=1,\n",
" temperature=0.7\n",
" )\n",
" review = response.choices[0].message.content.strip()\n",
" reviews.append((review, sentiment, aspect, feature))\n",
" except Exception as e:\n",
" print(f\"Error generating review: {e}\")\n",
" time.sleep(1) # To avoid rate limits\n",
" return reviews\n",
"\n",
"# Generate a large dataset\n",
"total_reviews = 10000 # Target number of reviews\n",
"# Generate a small dataset for testing\n",
"total_reviews = 10 # Reduced for quick testing\n",
"reviews = []\n",
"\n",
"# Calculate the number of iterations needed\n",
"iterations = total_reviews // (len(aspects) * len(sentiments) * len(features) * num_reviews_per_combination)\n",
"iterations = max(1, total_reviews // (len(aspects) * len(sentiments) * len(features) * num_reviews_per_combination))\n",
"for _ in range(iterations):\n",
" batch_reviews = generate_reviews(prompts, aspects, sentiments, features, num_reviews_per_combination)\n",
" reviews.extend(batch_reviews)\n",
" break # Only run one iteration for testing\n",
"\n",
"# Create a DataFrame to store the synthetic reviews\n",
"df = pd.DataFrame(reviews, columns=['review', 'sentiment', 'aspect', 'feature'])\n",
"df = pd.DataFrame(reviews, columns=[\"review\", \"sentiment\", \"aspect\", \"feature\"])\n",
"\n",
"# Display the first few rows\n",
"print(df.head())\n",
"print(f\"Total reviews generated: {df.shape[0]}\")\n",
"\n",
"# Save to CSV\n",
"df.to_csv('synthetic_usability_reviews.csv', index=False)"
"df.to_csv(\"synthetic_usability_reviews.csv\", index=False)\n"
]
},
{
Expand All @@ -226,4 +230,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}