import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os

# function part
# img2text
def img2text(url):
    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
    text = image_to_text_model(url)[0]["generated_text"]
    return text

# text2story
def text2story(text):
    prompt = (
        "Generate a fun, engaging, and kid-friendly story for children aged 3-10. "
        "Based on the following scenario, create a simple, imaginative narrative: " + text
    )
    story_generator = pipeline("text-generation", model="aspis/gpt2-genre-story-generation")
    story_text = story_generator(text, max_length=100, num_return_sequences=1)
    return story_text[0]["generated_text"]

# text2audio using gTTS
def text2audio(story_text, filename="output.mp3"):
    tts = gTTS(text=story_text, lang='en')
    tts.save(filename)
    return filename

# Main part
def main():
    st.set_page_config(page_title="Your Image to Audio Story", page_icon="🦜")
    st.header("Turn Your Image to Audio Story")

    if "scenario" not in st.session_state:
        st.session_state.scenario = None
    if "story" not in st.session_state:
        st.session_state.story = None
    if "audio_file" not in st.session_state:
        st.session_state.audio_file = None

    uploaded_file = st.file_uploader("Select an Image...")

    if uploaded_file is not None and st.session_state.scenario is None:
        print(uploaded_file)
        bytes_data = uploaded_file.getvalue()
        with open(uploaded_file.name, "wb") as file:
            file.write(bytes_data)

        st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)

        # Stage 1: Image to Text
        st.text('Processing img2text...')
        st.session_state.scenario = img2text(uploaded_file.name)
        st.write(st.session_state.scenario)

        # Stage 2: Text to Story
        st.text('Generating a story...')
        st.session_state.story = text2story(st.session_state.scenario)
        st.write(st.session_state.story)

        # Stage 3: Story to Audio File
        st.text('Generating audio...')
        audio_filename = text2audio(st.session_state.story)
        st.session_state.audio_file = audio_filename

    elif st.session_state.scenario:
        st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)
        st.write("Image Caption: ", st.session_state.scenario)
        st.write("Generated Story: ", st.session_state.story)

    # Play button (No reprocessing)
    if st.session_state.audio_file and st.button("Play Audio"):
        st.audio(st.session_state.audio_file, format="audio/mp3")

if __name__ == "__main__":
    main()