Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Inicjalizacja modelu
+model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it", device_map="auto", torch_dtype=torch.float16)
+tokenizer = AutoTokenizer.from_pretrained("google/gemma-7b-it")
+
+def generate_description(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(
+        **inputs, 
+        max_new_tokens=100,
+        temperature=0.7,
+        top_p=0.9,
+        repetition_penalty=1.2,
+        do_sample=True
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Interfejs
+interface = gr.Interface(
+    fn=generate_description,
+    inputs=gr.Textbox(label="Prompt"),
+    outputs=gr.Textbox(label="Generated Description"),
+    title="RPG Battle Descriptions Generator"
+)
+
+interface.launch()