app.py

import gradio as gr
from transformers import pipeline

# Load a poetry-specific model 
generator = pipeline("text-generation", model="gpt2")  

# Function to generate poems based on a prompt and form
def generate_poem(prompt, form):  
    # Add more specific prompt tuning based on the selected form
    if form == "Sonnet":
        prompt = f"Write a sonnet about {prompt}" 
    elif form == "Haiku":
        prompt = f"Write a haiku about {prompt}"
    elif form == "Limerick":
        prompt = f"Write a limerick about {prompt}"
    else:  # Free Verse
        prompt = f"Write a free verse poem about {prompt}"

    poem = generator(prompt, max_length=150, num_return_sequences=1)['generated_text']  # Increased max_length
    return poem.strip()

# Gradio interface with dropdown for poetic forms
iface = gr.Interface(
    fn=generate_poem,
    inputs=[
        gr.Textbox(lines=2, placeholder="Enter a prompt for your poem here...", label="Poem Prompt"),
        gr.Dropdown(choices=["Sonnet", "Haiku", "Limerick", "Free Verse"], label="Poetic Form") 
    ],
    outputs="text",
    title="Poem Generator",
    description="Generate poems with AI. Provide a prompt and let the AI create a poem for you!",
)

# Launch the Gradio app
iface.launch(share=True)