app.py

import streamlit as st
import tensorflow as tf
from transformers import AutoTokenizer, TFAutoModelForCausalLM, TFAutoModelForSequenceClassification

# MODEL TO CALL

generator_name = "Alirani/distilgpt2-finetuned-synopsis-genres_final"
tokenizer_gen = AutoTokenizer.from_pretrained(generator_name)
model_gen = TFAutoModelForCausalLM.from_pretrained(generator_name)

def generate_synopsis(model, tokenizer, title):
    input_ids = tokenizer(title, return_tensors="tf")
    output = model.generate(input_ids['input_ids'], max_length=150, num_beams=5, no_repeat_ngram_size=2, top_k=50, attention_mask=input_ids['attention_mask'])
    synopsis = tokenizer.decode(output[0], skip_special_tokens=True)
    processed_synopsis = "".join(synopsis.split('|')[2].rpartition('.')[:2]).strip()
    return processed_synopsis

classifier_name = "Alirani/overview_classifier_final"
tokenizer_clf = AutoTokenizer.from_pretrained(classifier_name)
model_clf = TFAutoModelForSequenceClassification.from_pretrained(classifier_name)

def generate_classification(model, tokenizer, title, overview):
    tokens = tokenizer(f"{title} | {overview}", padding=True, truncation=True, return_tensors="tf")
    output = model(**tokens).logits
    predicted_class_id = int(tf.math.argmax(output, axis=-1)[0])
    return model.config.id2label[predicted_class_id]

favicon = "https://i.ibb.co/JRdhFZg/favicon-32x32.png"

st.set_page_config(page_title="Synopsis Generator", page_icon = favicon, layout = 'wide', initial_sidebar_state = 'auto')

st.title('Demo of a Synopsis Classifier & Generator')

functionality = st.radio("Choose the function to use",
                         ["Classification", "Generation"],
                         captions = ['Classify title & synopsis into genres', 'Generate synopsis from title & genres'],
                         index = None)

if functionality == "Classification" :

    # CLASSIFY A SYNOPSIS

    st.header('Classify a story')

    prod_title = st.text_input('Type a title to classify a synopsis')

    prod_synopsis = st.text_area('Type a synopsis to classify it')

    button_classify = st.button('Get genre')

    if button_classify:
        if (len(prod_title.split(' ')) > 0) & len(prod_synopsis.split(' ')) > 0:
            classified_genre = generate_classification(model_clf, tokenizer_clf, prod_title, prod_synopsis)
            st.write('The genre of the title & synopsis is : ', classified_genre)
        else:
            st.write('Write a title & synopsis for the classifier to work !')

elif functionality == "Generation":

    # GENERATE A SYNOPSIS

    st.header('Generate a story')

    prod_title = st.text_input('Type a title to generate a synopsis')

    option_genres = st.selectbox(
        'Select a genre to tailor your synopsis',
        ('Family', 'Romance', 'Comedy', 'Action', 'Documentary', 'Adventure', 'Drama', 'Mystery', 'Crime', 'Thriller', 'Science Fiction', 'History', 'Music', 'Western', 'Fantasy', 'TV Movie', 'Horror', 'Animation', 'Reality'),
        index=None,
        placeholder="Select genres..."
        )

    complete_synopsis = st.toggle('Synopsis completion')

    if complete_synopsis:

        pre_synopsis = st.text_area('Type the beginning of your synopsis')

        button_synopsis = st.button('Get synopsis')

        if button_synopsis:
            if (len(prod_title.split(' ')) > 0) & option_genres:
                gen_synopsis = generate_synopsis(model_gen, tokenizer_gen, f"{prod_title} | {option_genres} | {pre_synopsis}")
                st.text_area('Generated synopsis', value=gen_synopsis, disabled=True)
            else:
                st.write('Write a title & select a genre for the generator to work !')
    
    else:

        button_synopsis = st.button('Get synopsis')

        if button_synopsis:
            if len(prod_title.split(' ')) > 0:
                gen_synopsis = generate_synopsis(model_gen, tokenizer_gen, f"{prod_title} | {option_genres} | ")
                st.text_area('Generated synopsis', value=gen_synopsis, disabled=True)
            else:
                st.write('Write a title for the generator to work !')

else:
    st.write("Select a functionality ! 😊")