app.py

from transformers import AutoProcessor, AutoModelForSeq2SeqLM
import gradio as gr

# Load model
processor = AutoProcessor.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768")
model = AutoModelForSeq2SeqLM.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768")

def generate_text(input_text):
    inputs = processor(input_text, return_tensors="pt")
    outputs = model.generate(**inputs)
    return processor.decode(outputs[0], skip_special_tokens=True)

# Gradio Interface
iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(label="Input Text"),
    outputs=gr.Textbox(label="Generated Output"),
    title="Lumina mGPT-7B-768",
    description="Enter text to generate output using Lumina-mGPT-7B-768."
)

iface.launch()