App

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "hf-100/mistral-spellbound-research"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto",
+    use_auth_token=True
+)
+
+def generate(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    output = model.generate(
+        **inputs,
+        max_new_tokens=300,
+        temperature=0.8,
+        top_p=0.95,
+        do_sample=True
+    )
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate,
+    inputs=gr.Textbox(lines=4, placeholder="Enter your prompt..."),
+    outputs="text",
+    title="Spellbound Model - Roleplay AI",
+    description="Powered by hf-100/mistral-spellbound-research"
+)
+
+iface.launch()