Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch
+
+model_id = "TheBloke/MythoMax-L2-13B-GPTQ"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype=torch.float16,
+    trust_remote_code=True,
+    revision="main"
+)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(prompt):
+    output = pipe(prompt, max_new_tokens=400, temperature=0.7, top_p=0.9, repetition_penalty=1.1)
+    return output[0]["generated_text"]
+
+gr.Interface(fn=chat,
+             inputs=gr.Textbox(label="Prompt", lines=6, placeholder="Tulis kode atau pertanyaan..."),
+             outputs=gr.Textbox(label="Respon MythoMax"),
+             title="🧙‍♂️ MythoMax L2 13B Coder",
+             description="Model LLM roleplay + coding kelas berat 🤘 oleh King Hammz"
+            ).launch()