Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load model
+model_name = "TheBloke/MythoMax-L2-13B-GPTQ"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
+
+def chat(message, history):
+    input_text = tokenizer.apply_chat_template(history + [[None, message]], tokenize=False)
+    inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs, max_new_tokens=300)
+    response = tokenizer.decode(outputs[:, inputs.input_ids.shape[1]:][0], skip_special_tokens=True)
+    return response
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## MythoMax AI Chatbot 💬")
+    chatbox = gr.ChatInterface(chat)
+    
+demo.launch()