| import gradio as gr | |
| import os | |
| from transformers import pipeline | |
| access_token = os.getenv("hf_token") | |
| code_generator = pipeline('text-generation', model='google/codegemma-2b', token=access_token) | |
| def generate_code(prompt): | |
| 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( | |
| #flagging of bc of bug | |
| allow_flagging="never", | |
| fn=generate_code, | |
| inputs=gr.Textbox(lines=5, label="Input Text"), | |
| outputs=gr.Textbox(label="Generated Code"), | |
| title="Gemma Code Generator", | |
| description="Enter a prompt to generate code using the little gemma model.", | |
| ) | |
| # Launch the Gradio interface | |
| iface.launch() | |