Update app.py

app.py

@@ -1,17 +1,39 @@
 import gradio as gr
+import numpy as np
+import keras_nlp
+import tensorflow as tf
+import tensorflow_datasets as tfds
+import tensorflow_text as tf_text
+from tensorflow import keras
+from tensorflow.lite.python import interpreter
+import time
+pip install -q git+https://github.com/keras-team/keras-nlp.git@google-io-2023 tensorflow-text==2.12
 
-class TafGPT:
-    def generate_response(self, user_input):
-        # Replace this with your own logic or use external APIs for more advanced responses
-        if "artificial intelligence" in user_input.lower():
-            response = "Taf-gpt: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence."
-        else:
-            response = f"Taf-gpt: Thank you for asking: I'm a simple chatbot in development soon I will be able to help you with more requests."
+gpt2_tokenizer = keras_nlp.models.GPT2Tokenizer.from_preset("gpt2_base_en")
+gpt2_preprocessor = keras_nlp.models.GPT2CausalLMPreprocessor.from_preset(
+    "gpt2_base_en",
+    sequence_length=256,
+    add_end_token=True,
+)
+gpt2_lm = keras_nlp.models.GPT2CausalLM.from_preset("gpt2_base_en", preprocessor=gpt2_preprocessor)
+
+start = time.time()
+
+output = gpt2_lm.generate("My trip to New York was", max_length=200)
+print("\nGPT-2 output:")
+print(output.numpy().decode("utf-8"))
+
+end = time.time()
+print("TOTAL TIME ELAPSED: ", end - start)
 
-        return response
+start = time.time()
 
-# Create an instance of TafGPT
-taf_gpt = TafGPT()
+output = gpt2_lm.generate("That Italian restaurant is", max_length=200)
+print("\nGPT-2 output:")
+print(output.numpy().decode("utf-8"))
+
+end = time.time()
+print("TOTAL TIME ELAPSED: ", end - start)
 
 # Define Gradio interface
 iface = gr.Interface(
@@ -23,8 +45,6 @@ iface = gr.Interface(
     description="Welcome to Taf-gpt! Enter your message below.",
 )
 
+
 # Launch the Gradio interface
 iface.launch()
-
-# Example chat: Asking about artificial intelligence
-print(taf_gpt.generate_response("What is artificial intelligence?"))