| import gradio as gr | |
| from transformers import pipeline | |
| # Initialize the StarCoder model | |
| # Replace 'models/bigcode/starcoder' with the actual model path if different | |
| code_generator = pipeline('text-generation', model='google/codegemma-2b') | |
| def generate_code(prompt): | |
| #""" | |
| #Generates code based on the given prompt. | |
| #Parameters: | |
| #- prompt (str): The input text to generate code from. | |
| #Returns: | |
| #- str: The generated code. | |
| #""" | |
| generated_code = code_generator(prompt, max_length=100, do_sample=True, temperature=0.7) | |
| return generated_code[0]['generated_text'] | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=generate_code, | |
| inputs=gr.Textbox(lines=5, label="Input Text"), | |
| outputs=gr.Textbox(label="Generated Code"), | |
| title="StarCoder Code Generator", | |
| description="Enter a prompt to generate code using the StarCoder model.", | |
| ) | |
| # Launch the Gradio interface | |
| iface.launch() | |