import gradio as gr
from transformers import pipeline

# Define the function that will process the text
def generate_text(prompt1, prompt2):
    # Define the GPT-2 model and the processing pipeline
    model = "EleutherAI/gpt-neo-125M"
    summarization = pipeline("text-generation", model=model)
    # Concatenate the two prompts
    prompt = "Explain " + prompt1 + " to a " + prompt + " grader below."
    # Generate the text
    result = summarization(prompt, max_length=32)
    return result[0]["generated_text"]

# Create the input interface
inputs = [gr.inputs.Textbox(lines=5, label="Prompt 1:"), gr.inputs.Textbox(lines=5, label="Prompt 2:")]

# Create the output interface
outputs = gr.outputs.Textbox(label="Generated Text")

# Create the app
app = gr.Interface(generate_text, inputs, outputs, title="GPT-2 Text Generation Demo")

# Run the app
app.launch()