Create q2.py

q2.py

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+import openai
+
+def generate_text_completion(api_key, prompt, model="text-davinci-003", max_tokens=100, temperature=0.5):
+    """
+    Generate a text completion using LangChain (GPT-3 model).
+
+    Parameters:
+    - api_key (str): Your OpenAI API key.
+    - prompt (str): The prompt text to generate completion from.
+    - model (str): The GPT-3 model to use. Defaults to 'text-davinci-003'.
+    - max_tokens (int): Maximum number of tokens (words) in the generated text. Defaults to 100.
+    - temperature (float): Controls randomness in text generation. Higher values make the output more diverse. Defaults to 0.5.
+
+    Returns:
+    - generated_text (str): The generated text completion.
+    """
+    # Set the OpenAI API key
+    openai.api_key = api_key
+    
+    # Generate text completion using LangChain
+    response = openai.Completion.create(
+        engine=model,
+        prompt=prompt,
+        max_tokens=max_tokens,
+        temperature=temperature
+    )
+
+    # Extract and return the generated text
+    generated_text = response['choices'][0]['text'].strip()
+    return generated_text
+
+# Example usage:
+def main():
+    # Replace 'your_openai_api_key_here' with your actual API key
+    api_key = 'your_openai_api_key_here'
+    
+    # Example prompt
+    prompt = "Once upon a time in a galaxy far, far away"
+
+    # Generate text completion
+    generated_text = generate_text_completion(api_key, prompt)
+    
+    # Print generated text
+    print("Generated Text Completion:")
+    print(generated_text)
+
+if __name__ == "__main__":
+    main()