Update app.py

app.py

@@ -1,11 +1,49 @@
 import gradio as gr
-from transformers_js_py import pipeline
+import numpy as np
 
-pipe = await pipeline('sentiment-analysis')
+def transpose_cipher(text, key):
+    # Convert the key to a list of integers
+    key_list = [int(k) for k in key.split()]
+    # Calculate the number of columns
+    num_cols = len(key_list)
+    # Calculate the number of rows
+    num_rows = -(-len(text) // num_cols)  # Ceiling division
+    # Initialize the matrix with spaces
+    matrix = [[' ' for _ in range(num_cols)] for _ in range(num_rows)]
+    # Fill the matrix with the text
+    index = 0
+    for row in range(num_rows):
+        for col in range(num_cols):
+            if index < len(text):
+                matrix[row][col] = text[index]
+                index += 1
+    # Transpose the matrix based on the key
+    transposed_matrix = ['' for _ in range(num_rows)]
+    for col in range(num_cols):
+        for row in range(num_rows):
+            transposed_matrix[key_list[col] - 1] += matrix[row][col]
+    # Join the transposed matrix into a single string
+    return ''.join(transposed_matrix)
 
-async def process(text):
-    return await pipe(text)
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    # Input components with tooltips and instructions
+    text_input = gr.Textbox(
+        label="Text to Encrypt",
+        placeholder="Enter your text here",
+        info="Enter the text you want to encrypt."
+    )
+    key_input = gr.Textbox(
+        label="Key",
+        placeholder="Enter the key (space-separated integers)",
+        info="Enter the key as a sequence of space-separated integers. The key should be a permutation of the column indices."
+    )
+    # Output component
+    encrypted_output = gr.Textbox(label="Encrypted Text")
+    # Button to trigger the encryption
+    encrypt_button = gr.Button("Encrypt")
+    # Define the event listener
+    encrypt_button.click(fn=transpose_cipher, inputs=[text_input, key_input], outputs=encrypted_output)
 
-demo = gr.Interface(fn=process, inputs="text", outputs="json")
-
-demo.launch()
+# Launch the Gradio app
+demo.launch(show_error=True)