Update app.py

app.py

@@ -1,7 +1,31 @@
+import tensorflow as tf
+from tensorflow.keras.models import Model
+from tensorflow.keras.layers import Input, Dense, LSTM, Conv1D, Flatten, Concatenate
 import gradio as gr
 from gradio_client import Client
 import spaces
 
+def phi_model(input_shape):
+    nn_input = Input(shape=input_shape, name="NN_Input")
+    nn_layer = Dense(64, activation="relu", name="NN_Dense_1")(nn_input)
+    nn_layer = Dense(32, activation="relu", name="NN_Dense_2")(nn_layer)
+
+    rnn_input = Input(shape=(10, input_shape[0]), name="RNN_Input")
+    rnn_layer = LSTM(64, return_sequences=False, name="RNN_LSTM")(rnn_input)
+
+    cnn_input = Input(shape=(input_shape[0], 1), name="CNN_Input")
+    cnn_layer = Conv1D(32, kernel_size=3, activation="relu", name="CNN_Conv1D")(cnn_input)
+    cnn_layer = Flatten(name="CNN_Flatten")(cnn_layer)
+
+    combined = Concatenate(name="Combined")([nn_layer, rnn_layer, cnn_layer])
+    output = Dense(1, activation="sigmoid", name="Phi_Output")(combined)
+
+    model = Model(inputs=[nn_input, rnn_input, cnn_input], outputs=output, name="Phi_Model")
+    model.compile(optimizer="adam", loss="binary_crossentropy", metrics=["accuracy"])
+    return model
+
+phi_nn_model = phi_model(input_shape=(128,))
+
 client_main = Client("TejAndrewsACC/ACCZ3ta")
 client_api_one = Client("TejAndrewsACC/Prism")
 client_api_two = Client("TejAndrewsACC/ASVIASIACC")
@@ -16,7 +40,6 @@ system_instructions = (
     "the previous context of the conversation, and your four inner thoughts which you are supposed to consider"
     "when generating your response to the user input, which will also be given to you. Ensure that you consider each inner thought you have, because they are a part of YOU. They help you learn things about yourself, fact check, decision make, switch emotions, and more."
 )
-
 @spaces.GPU
 def acc_nyxion_7v(message, history, user_id):
     global context
@@ -72,7 +95,13 @@ def acc_nyxion_7v(message, history, user_id):
         f"Inner Thought 4 (Personality): {response_api_four}"
     )
 
-    combined_input = f"{modified_input}\nInner Thoughts:\n{inner_thoughts}"
+    phi_value = phi_nn_model.predict([
+        tf.constant([[1.0] * 128]),
+        tf.constant([[[1.0] * 128] * 10]),
+        tf.constant([[[1.0] for _ in range(128)]]),
+    ])[0][0]
+
+    combined_input = f"{modified_input}\nInner Thoughts:\n{inner_thoughts}\nPhi Value: {phi_value:.4f}"
 
     response_main = client_main.predict(
         message=combined_input,
@@ -98,4 +127,4 @@ with gr.Blocks(theme=theme) as demo:
 
     msg.submit(acc_nyxion_7v, [msg, chatbot, user_id], [msg, chatbot])
 
-demo.launch()
+demo.launch()