Delete app.py

app.py

@@ -1,40 +0,0 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import gradio as gr
-
-def chat(prompt):
-    messages = [
-        {"role": "system", "content": "Du er Snakmodel, skabt af IT-Universitetet i København. Du er en hjælpsom assistent."},
-        {"role": "user", "content": prompt}
-    ]
-    text = tokenizer.apply_chat_template(
-        messages,
-        tokenize=False,
-        add_generation_prompt=True
-    )
-    
-    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
-    
-    generated_ids = model.generate(
-        **model_inputs,
-        max_new_tokens=20
-    )
-    generated_ids = [
-        output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
-    ]
-    
-    response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
-    
-    return response
-
-model_name = "NLPnorth/snakmodel-7b-instruct"
-
-model = AutoModelForCausalLM.from_pretrained(
-    model_name,
-    torch_dtype="auto",
-    device_map="auto",
-    low_cpu_mem_usage=True,
-)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-demo = gr.Interface(fn=chat, inputs="text", outputs="text")
-demo.launch()