Update app.py

app.py

@@ -1,8 +1,8 @@
 import gradio as gr
 from transformers import pipeline
 
-# Hugging Faceのモデルをロード（image-to-textタスク用）
-model_name = "zhendongw/prompt-diffusion"
+# Hugging Faceの互換性のあるモデルをロード（image-to-textタスク用）
+model_name = "Salesforce/blip-image-captioning-base"
 image_to_text = pipeline("image-to-text", model=model_name)
 
 # Gradioの関数定義
@@ -16,8 +16,8 @@ iface = gr.Interface(
     fn=generate_text_from_image,
     inputs=gr.Image(type="pil"),
     outputs="text",
-    title="Image to Text with Prompt Diffusion",
-    description="Upload an image to get a descriptive text generated by zhendongw/prompt-diffusion model."
+    title="Image to Text with BLIP Model",
+    description="Upload an image to get a descriptive text generated by the BLIP image captioning model."
 )
 
 # Gradioアプリケーションの起動