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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 | |