app.py

import gradio as gr
from transformers import pipeline

# Load a small but good text generation model
# You can swap "gpt2" with a better free model like "tiiuae/falcon-7b-instruct" if you have GPU
generator = pipeline("text-generation", model="gpt2", device_map="auto")

def decode_dream(dream_text):
    prompt = f"You are a dream interpretation expert. Decode the following dream:\n\n{dream_text}\n\nDream meaning:"
    result = generator(prompt, max_length=200, num_return_sequences=1, temperature=0.8)
    return result[0]['generated_text']

demo = gr.Interface(
    fn=decode_dream,
    inputs=gr.Textbox(label="Describe your dream", placeholder="I was flying over a city at night..."),
    outputs=gr.Textbox(label="Dream interpretation"),
    title="Dream Decoder",
    description="Describe your dream and get an AI-generated interpretation."
)

if __name__ == "__main__":
    demo.launch()