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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(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 | |