README.mdのタイトル、絵文字、色の設定を更新し、ライセンス情報を追加しました。

README.md

@@ -1,12 +1,13 @@
 ---
-title: Heron Demo
-emoji: ⚡
-colorFrom: pink
-colorTo: indigo
+title: Heron NVILA Lite
+emoji: 🏆
+colorFrom: blue
+colorTo: yellow
 sdk: gradio
 sdk_version: 5.29.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,61 @@
+from transformers import AutoConfig, AutoModel
+import gradio as gr
+import spaces
+
+model_path = "turing-motors/Heron-NVILA-Lite-15B"
+
+# or directly from_pretrained
+model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map="auto")
+
+# examples generate using generation_config
+from PIL import Image
+import requests
+from transformers import GenerationConfig
+generation_config = {
+    "max_new_tokens": 2048,
+    "temperature": 0.5,
+    "do_sample": True,
+}
+generation_config = GenerationConfig(**generation_config)
+
+DESCRIPTION = '''
+<div>
+<h1 style="text-align: center;">非公式Heron-NVILA-Lite-15B</h1>
+<p>Heron-NVILA-Lite-15Bの非公式デモだよ。 <a href="https://huggingface.co/turing-motors/Heron-NVILA-Lite-15B"><b>turing-motors/Heron-NVILA-Lite-15B</b></a>.</p>
+</div>
+'''
+
+@spaces.GPU()
+def infer(image):
+    response = model.generate_content(
+        [image, "画像を可能な限り詳細に説明してください。"],
+        generation_config=generation_config
+    )
+
+    return response
+
+css = """
+h1 {
+  text-align: center;
+  display: block;
+}
+#col-container {
+    margin: 0 auto;
+    max-width: 520px;
+}
+"""
+
+with gr.Blocks(fill_height=True, css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(DESCRIPTION)
+        image_input=gr.Image(type="pil", label="画像をアップロード")
+        run_button = gr.Button("画像の説明文を生成する", scale=0)
+        text_output=gr.Textbox(label="生成されたテキスト")
+    run_button.click(
+        fn = infer,
+        inputs = image_input,
+        outputs = text_output,
+    )
+    
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+transformers==4.45.0 
+accelerate 
+opencv-python 
+torchvision 
+einops 
+pillow
+git+https://github.com/bfshi/scaling_on_scales.git