feat: Added required files

app.py

@@ -1,15 +1,20 @@
 
 import gradio as gr
 import json
+import pickle
 import numpy as np
 import tensorflow as tf
 from tensorflow.keras.preprocessing.text import Tokenizer
 from tensorflow.keras.preprocessing.sequence import pad_sequences
 
-
 # Static constants
 max_seq_len = 18
 model = tf.keras.models.load_model('poembot_weight.h5')
+
+with open('tokenizer.pickle', 'rb') as handle:
+    tokenizer = pickle.load(handle)
+
+
 with open("word_token.json") as wt:
     word_token = json.load(wt)
 # Main function

poembot_weight.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bbcc1ade1290a9d2cbd5544e56539d1e2d74a5b2c3d878e54440dbf1579d5f5
+oid sha256:1e547c33adc95b519e1e21e70549f5af7a225a0cc8b8d80d760f760f845688f2
 size 1097832

tokenizer.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f878ad09d410a430fd49129d7712020cb50f49e93db9cb0a8bb0ef5b42cf502b
+size 2918