Create Applc.py

Applc.py

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+import gradio as gr
+
+
+import os
+
+os.system('!pip install pycryptodome -q')
+
+from datetime import datetime
+import random
+import math
+import base64
+import hashlib
+from Crypto import Random
+from Crypto.Cipher import AES
+import rsa
+import string
+
+
+from msg_encX import *
+
+
+def Encrypt_users_txt(Txt):
+    encMessage = Encrypt_msg(User_message=Txt,user_password='',path='')
+    return encMessage
+
+def Decrypt_users_txt(Txt,user_password):
+    #Txt = input_parameters[0]
+    #user_password = input_parameters[1]
+    encMessage = Decrypt_msg(encMessage=Txt,user_password='',path='')
+    return encMessage
+    
+#result_button_encrypt = gr.Button('Encrypt')
+#result_button_encrypt.click(greet, inputs = "text", outputs = "text")
+
+#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+#iface.launch()
+
+
+
+with gr.Blocks() as demo:
+    #gr.Markdown("<h1><center>Free Fast YouTube URL Video-to-Text using <a href=https://openai.com/blog/whisper/ target=_blank>OpenAI's Whisper</a> Model</center></h1>")
+    gr.Markdown("<center> Encrypt your message and use the same link to decrypt it on the same day.</center>")
+    gr.Markdown("<center> The one day limit is to enhance the privacy of the encrypted messages.</center>")
+    gr.Markdown("<center><b>'You can encrypt/decrypt so many messages everyday.'</b></center>")
+    #gr.Markdown("<center>Transcription takes 5-10 seconds per minute of the video (bad audio/hard accents slow it down a bit). #patience<br />If you have time while waiting, drop a ♥️ and check out my <a href=https://www.artificial-intelligence.blog target=_blank>AI blog</a> (opens in new tab).</center>")
+    input_text = gr.Textbox(placeholder='Message', label='Message')
+    #User_password = gr.Textbox(placeholder='Password', label='User password')
+    result_button_encrypt = gr.Button('Encrypt')
+    result_button_decrypt = gr.Button('Decrypt')
+    #vc_f0method = gr.Radio(label="Encrypt or Decrypt", choices=["Encrypt", "Decrypt"],value="Encrypt",interactive=True,)
+    output_text = gr.Textbox(placeholder='Output message', label='Encrypte')
+    
+    result_button_encrypt.click(Encrypt_users_txt, inputs = input_text, outputs = output_text)
+    result_button_decrypt.click(Decrypt_users_txt, inputs = input_text, outputs = output_text)
+
+
+demo.queue(default_enabled = True).launch(debug = True)