text_generator.py

from transformers import Tool
from transformers import pipeline

class TextGenerationTool(Tool):
    name = "text_generator"
    description = (
        "This is a tool for text generation. It takes a prompt as input and returns the generated text."
    )

    inputs = ["text"]
    outputs = ["text"]

    def __call__(self, prompt: str):
        # Replace the following line with your text generation logic
        #generated_text = f"Generated text based on the prompt: '{prompt}'"

        # Initialize the text generation pipeline
        #text_generator = pipeline("text-generation")
        text_generator = pipeline(model="bigcode/starcoder")

        # Generate text based on a prompt
        generated_text = text_generator(prompt, max_length=500, num_return_sequences=1, temperature=0.7)

        # Print the generated text
        print(generated_text)



        return generated_text