Upload streamlit_app.py

streamlit_app.py

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+import streamlit as st
+import tensorflow as tf
+
+st.markdown(
+    """
+    <h1 style='text-align: center; color: #4B8BBE; font-size: 48px;'>
+        Next Character Prediction
+    </h1>
+    """,
+    unsafe_allow_html=True
+)
+
+characters = st.text_input("Enter the characters to begin with")
+
+one_step_reloaded = tf.saved_model.load('reonestep20F')
+
+states = None
+next_char = tf.constant([characters])
+result = [next_char]
+
+for n in range(100):
+  next_char, states = one_step_reloaded.generate_one_step(next_char, states=states)
+  result.append(next_char)
+
+st.write(tf.strings.join(result)[0].numpy().decode("utf-8"))