Update app.py

app.py

@@ -7,7 +7,7 @@ import gradio as gr
 from gradio import FileData
 import time
 import spaces
-ckpt = "meta-llama/Llama-3.2-11B-Vision-Instruct"
+ckpt = "Kendamarron/Llama-3.2-11B-Vision-Instruct-Swallow-8B-Merge"
 model = MllamaForConditionalGeneration.from_pretrained(ckpt,
     torch_dtype=torch.bfloat16).to("cuda")
 processor = AutoProcessor.from_pretrained(ckpt)
@@ -71,15 +71,15 @@ def bot_streaming(message, history, max_new_tokens=250):
 
 
 demo = gr.ChatInterface(fn=bot_streaming, title="Multimodal Llama", examples=[
-    [{"text": "Which era does this piece belong to? Give details about the era.", "files":["./examples/rococo.jpg"]},
+    [{"text": "これはどの時代のものですか？時代について詳しく教えてください。", "files":["./examples/rococo.jpg"]},
     200],
-    [{"text": "Where do the droughts happen according to this diagram?", "files":["./examples/weather_events.png"]},
+    [{"text": "この図によると、干ばつはどこで起こるのでしょうか？", "files":["./examples/weather_events.png"]},
     250],
-    [{"text": "What happens when you take out white cat from this chain?", "files":["./examples/ai2d_test.jpg"]},
+    [{"text": "このチェーンから白猫を外すとどうなるのか？", "files":["./examples/ai2d_test.jpg"]},
     250],
-    [{"text": "How long does it take from invoice date to due date? Be short and concise.", "files":["./examples/invoice.png"]},
+    [{"text": "請求書発行日から支払期日までの期間は？短く簡潔に。", "files":["./examples/invoice.png"]},
     250],
-    [{"text": "Where to find this monument? Can you give me other recommendations around the area?", "files":["./examples/wat_arun.jpg"]}, 
+    [{"text": "このモニュメントはどこにありますか？また、その周辺でお勧めの場所を教えてください。", "files":["./examples/wat_arun.jpg"]}, 
     250],
     ],
       textbox=gr.MultimodalTextbox(), 
@@ -92,7 +92,7 @@ demo = gr.ChatInterface(fn=bot_streaming, title="Multimodal Llama", examples=[
           )
         ],
       cache_examples=False,
-      description="Try Multimodal Llama by Meta with transformers in this demo. Upload an image, and start chatting about it, or simply try one of the examples below. To learn more about Llama Vision, visit [our blog post](https://huggingface.co/blog/llama32). ",
+      description="[Kendamarron/Llama-3.2-11B-Vision-Instruct-Swallow-8B-Merge](https://huggingface.co/Kendamarron/Llama-3.2-11B-Vision-Instruct-Swallow-8B-Merge)のデモ",
       stop_btn="Stop Generation", 
       fill_height=True,
     multimodal=True)