app.py

import gradio as gr
from transformers import pipeline

# Load your text generation model from Hugging Face
model_name = "curiouscurrent/omnicode"
text_generator = pipeline("text-generation", model=model_name)

def generate_response(input_prompt):
    # Generate response
    response = text_generator(input_prompt, max_length=100)[0]['generated_text']
    return response

# Create Gradio interface
input_prompt = gr.inputs.Textbox(lines=5, label="Input Prompt")
output_text = gr.outputs.Textbox(label="Response")

gr.Interface(
    generate_response,
    inputs=input_prompt,
    outputs=output_text,
    title="OmniCode",
    description="Multi Programming coding assistant.",
    theme="compact"
).launch()