Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "TheBloke/MythoMax-L2-13B-GGUF"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def chat(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    output = model.generate(**inputs, max_new_tokens=100)
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+iface = gr.Interface(
+    fn=chat,
+    inputs="text",
+    outputs="text",
+    title="Dika AI - MythoMax Lite",
+    description="Chatbot AI berbasis MythoMax 13B GGUF, optimized for Hugging Face free tier!"
+)
+
+iface.launch()