Update app.py

app.py

@@ -9,7 +9,7 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 # Load your images
 image_dir = "images"
 images = [os.path.join(image_dir, f) for f in os.listdir(image_dir) if f.endswith(".jpg")]
-
+STATIC_IMAGE_PATH = "images/Places365_val_00000009.jpg"
 # Load the model and processor
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
@@ -35,16 +35,27 @@ def process(image_path, user_prompt):
 
 with gr.Blocks() as demo:
     with gr.Row():
-        image_display = gr.Image(type="filepath", label="Selected Image")
-        random_button = gr.Button("Randomize Photo")
+        image_display = gr.Image(value=STATIC_IMAGE_PATH, type="filepath", label="Selected Image")
 
-    image_path = gr.Textbox(visible=False)
+    image_path = gr.Textbox(value=STATIC_IMAGE_PATH, visible=False)
     user_prompt = gr.Textbox(label="User Prompt")
     run_button = gr.Button("Run Model")
     output = gr.Textbox(label="Model Output")
 
-    random_button.click(fn=random_image, outputs=[image_display, image_path])
     run_button.click(fn=process, inputs=[image_path, user_prompt], outputs=output)
 
+# with gr.Blocks() as demo:
+#     with gr.Row():
+#         image_display = gr.Image(type="filepath", label="Selected Image")
+#         random_button = gr.Button("Randomize Photo")
+
+#     image_path = gr.Textbox(visible=False)
+#     user_prompt = gr.Textbox(label="User Prompt")
+#     run_button = gr.Button("Run Model")
+#     output = gr.Textbox(label="Model Output")
+
+#     random_button.click(fn=random_image, outputs=[image_display, image_path])
+#     run_button.click(fn=process, inputs=[image_path, user_prompt], outputs=output)
+
 
 demo.launch()