add classifier

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+import tensorflow as tf
 from transformers import AutoTokenizer, TFAutoModelForCausalLM, TFAutoModelForSequenceClassification
 
 # MODEL TO CALL
@@ -7,10 +8,6 @@ generator_name = "Alirani/distilgpt2-finetuned-synopsis-genres_final"
 tokenizer_gen = AutoTokenizer.from_pretrained(generator_name)
 model_gen = TFAutoModelForCausalLM.from_pretrained(generator_name)
 
-classifier_name = "Alirani/overview_classifier_final"
-tokenizer_clf = AutoTokenizer.from_pretrained(classifier_name)
-model_clf = TFAutoModelForSequenceClassification.from_pretrained(classifier_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'])
@@ -18,33 +15,71 @@ def generate_synopsis(model, tokenizer, title):
     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)
-    return output
+    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 Generator')
+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_gen, tokenizer_gen, 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..."
+        )
 
-st.header('Generate a story')
+    button_synopsis = st.button('Get synopsis')
 
-prod_title = st.text_input('Type a title to generate a 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 !')
 
-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..."
-    )
+else:
+    st.write("Select a functionality ! 😊")
 
-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 !')