evaluation code

Author: jstzwj

evaluation.py

@@ -0,0 +1,35 @@
+import openai
+import os
+import argparse
+
+# Set up OpenAI API credentials
+openai.api_key = os.environ["OPENAI_API_KEY"]
+
+# Define the prompt to test the model
+def generate_text(prompt, model_engine, temperature, max_tokens):
+    # Call the OpenAI API to generate text based on the prompt
+    response = openai.Completion.create(
+        engine=model_engine,
+        prompt=prompt,
+        temperature=temperature,
+        max_tokens=max_tokens
+    )
+
+    # Return the generated text
+    return response["choices"][0]["text"]
+
+if __name__ == "__main__":
+    # Set up the argparse
+    parser = argparse.ArgumentParser(description='Test a large language model on programming problems')
+    parser.add_argument('--model_engine', type=str, default="text-davinci-002", help='The name of the OpenAI model engine to use (default: text-davinci-002)')
+    parser.add_argument('--temperature', type=float, default=0.5, help='The temperature to use for text generation (default: 0.5)')
+    parser.add_argument('--max_tokens', type=int, default=50, help='The maximum number of tokens to generate (default: 50)')
+
+    # Parse the arguments
+    args = parser.parse_args()
+
+    # Generate the text based on the arguments
+    generated_text = generate_text(args.prompt, args.model_engine, args.temperature, args.max_tokens)
+
+    # Print the generated text
+    print(generated_text)