Update app.py

app.py

@@ -1610,24 +1610,6 @@ print("Transformer Output:", transformer_output)
 
 
 
-def advanced_text_generation(input_vector):
-   ff_output = nn.forward(input_vector)
-   rnn_out = rnn.forward(input_vector)
-   lstm_out = lstm.forward(input_vector)
-   transformer_out = transformer.forward([input_vector])
-   combined = [
-       (ff_output[i] + rnn_out[i] + lstm_out[i] + transformer_out[i]) / 4
-       for i in range(len(ff_output))
-   ]
-   predicted_index = combined.index(max(combined))
-   predicted_word = index_to_word[predicted_index]
-   long_text = ""
-   current_length = round(10 * PHI)
-   for _ in range(5):
-       segment = generate_text(current_length)
-       long_text += segment + " "
-       current_length = round(current_length * PHI)
-   return long_text + predicted_word
 
 
 
@@ -1644,52 +1626,6 @@ def advanced_text_generation(input_vector):
 
 
 
-def chat():
-   print("FiPhi-NeuralMark ACC Initialized")
-   base_length = round(5 * PHI)
-   while True:
-       user_input = "input"
-       if user_input.lower() == "exit":
-           print("Goodbye!")
-           break
-       user_input_tokens = user_input.split()
-       input_vector = [0] * len(unique_words)
-       for word in user_input_tokens:
-           if word in word_to_index:
-               input_vector[word_to_index[word]] = 1
-       response = advanced_text_generation(input_vector)
-       print("FiPhi-NeuralMark: (ENCRYPTED)")
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-chat()
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