Porting over notebook file

app.py

@@ -1,4 +1,57 @@
 import streamlit as st
+import random
+from tensorflow.keras.preprocessing.text import Tokenizer
+from tensorflow.keras.preprocessing.sequence import pad_sequences
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.title("Addition Equation Generator")
+
+# Sidebar for user input
+num_samples = st.sidebar.number_input("Number of Samples", min_value=100, max_value=100000, value=5000)
+max_num = st.sidebar.slider("Maximum Number for Addition", min_value=10, max_value=100, value=99)
+
+# Function to generate addition data
+def generate_addition_data(num_samples, max_num, stop_token=';'):
+    input_equations = []
+    answers = []
+    for _ in range(num_samples):
+        a = random.randint(0, max_num)
+        b = random.randint(0, max_num)
+        input_eq = f"{a} + {b} ="
+        answer = str(a + b) + stop_token
+        input_equations.append(input_eq)
+        answers.append(answer)
+    return input_equations, answers
+
+# Button to generate and process data
+if st.button('Generate and Process Data'):
+    input_equations, answers = generate_addition_data(num_samples, max_num)
+
+    # Display some sample data
+    st.write("Sample Generated Data:")
+    for i in range(min(5, len(input_equations))):
+        st.write(f"Input Equation: {input_equations[i]}")
+        st.write(f"Answer: {answers[i]}")
+
+    # Tokenization
+    tokenizer = Tokenizer(char_level=True)
+    tokenizer.fit_on_texts(input_equations + answers)
+    input_sequences = tokenizer.texts_to_sequences(input_equations)
+    answer_sequences = tokenizer.texts_to_sequences(answers)
+
+    # Padding sequences
+    max_len = max(max([len(seq) for seq in input_sequences]), max([len(seq) for seq in answer_sequences]))
+    input_sequences_padded = pad_sequences(input_sequences, maxlen=max_len, padding='post')
+    answer_sequences_padded = pad_sequences(answer_sequences, maxlen=max_len, padding='post')
+
+    # Display tokenization and padding results
+    st.write("Tokenization and Padding Results:")
+    for i in range(min(5, len(input_equations))):
+        st.write(f"Input Equation: {input_equations[i]}")
+        st.write(f"Tokenized Input Sequence: {input_sequences[i]}")
+        st.write(f"Padded Input Sequence: {input_sequences_padded[i]}")
+        st.write(f"Answer: {answers[i]}")
+        st.write(f"Tokenized Answer Sequence: {answer_sequences[i]}")
+        st.write(f"Padded Answer Sequence: {answer_sequences_padded[i]}")
+
+# Instruction to run the app
+st.write("Run the app with `streamlit run <script_name>.py` in your terminal.")