Add DeepHat app

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "DeepHat/DeepHat-V1-7B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    device_map="auto",
+    low_cpu_mem_usage=True
+)
+
+def chat(input_text):
+    messages = [
+        {"role": "system", "content": "You are a cybersecurity expert."},
+        {"role": "user", "content": input_text}
+    ]
+
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=120)
+
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=chat, inputs="text", outputs="text").launch()