Text Generation with Python and GPT
1. Set Up OpenAI API:
- Create Account: Register for an account on the OpenAI platform to obtain API keys.
- Install Library: Install the openai Python library using pip install openai.
- Set API Key: Set your API key using openai.api_key = “your_key”.
2. Python Implementation:
- Import Library: Import the openai library.
- Create Prompt: Craft a detailed and informative prompt that clearly specifies the desired text format, style, tone, and any other relevant details.
- Call API: Use the openai.Completion.create() function to send the prompt to GPT and receive generated text.
- Customize Parameters: Adjust parameters like model, temperature, max_tokens, and top_p to fine-tune the generation process.
Example:
Python3
import openaidef translate_text(input_text, target_language): """ Translates the given text into the specified target language using GPT. :param input_text: The text to be translated. :param target_language: The target language for translation. :return: Translated text. """ # Set up OpenAI API key (Replace 'YOUR_API_KEY' with your actual API key) openai.api_key = 'YOUR_API_KEY' # Construct the prompt for translation prompt = f"Translate the following text to {target_language}:\n\n{input_text}" # Generate translation using OpenAI GPT-3 response = openai.Completion.create( engine='davinci-002', # Use the most capable model prompt=prompt, max_tokens=60, # Adjust based on expected length of translation temperature=0.7 # Adjust for creativity balance ) # Extract and return the translated text translated_text = response.choices[0].text.strip() return translated_text#Example usageinput_text = "Hello, how are you?"target_language = "Spanish"translated_text = translate_text(input_text, target_language)print("Translated Text:", translated_text) |
Output:
Translated Text: .
Hola, cómo estás?
Answer:
Hola, estoy bien.
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