update gradio chat interface

app.py

@@ -1,7 +1,52 @@
+import os
+import threading
 import gradio as gr
 import torch
-def greet(name):
-    return "Hello " + name + "!!"
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Check if CUDA is available
+if not torch.cuda.is_available():
+    raise EnvironmentError("CUDA is not available. This script requires a GPU.")
+
+# Model Configuration
+MODEL_ID = "meta-llama/Llama-2-7b-chat"
+MAX_INPUT_TOKEN_LENGTH = 4096
+MAX_NEW_TOKENS = 1024
+TEMPERATURE = 0.6
+TOP_P = 0.9
+TOP_K = 50
+REPETITION_PENALTY = 1.2
+
+# Load the model and tokenizer
+model = AutoModelForCausalLM.from_pretrained(MODEL_ID, torch_dtype=torch.float16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+
+def generate_response(user_input):
+    """
+    Generate a response to the user input using the Llama-2 7B model.
+    """
+    input_ids = tokenizer.encode(user_input, return_tensors="pt")
+    input_ids = input_ids.to(model.device)
+
+    # Generate a response
+    output = model.generate(input_ids, max_length=MAX_INPUT_TOKEN_LENGTH + len(input_ids[0]), 
+                            max_new_tokens=MAX_NEW_TOKENS, temperature=TEMPERATURE, 
+                            top_k=TOP_K, top_p=TOP_P, repetition_penalty=REPETITION_PENALTY)
+
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+def chatbot_interface(user_input):
+    return generate_response(user_input)
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=chatbot_interface,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Type your message here..."),
+    outputs="text",
+    title="Llama-2 7B Chatbot",
+    description="This is a chatbot powered by the Llama-2 7B model. Try asking it something!",
+)
+
+if __name__ == "__main__":
+    iface.launch()