Add HTML and update cache

app.py

@@ -219,6 +219,7 @@ with gr.Blocks(
                     template = gr.Textbox(lines=10, label="Custom Template", placeholder="Customized Template", value=default_template)
             with gr.Column(scale=1):
                 output = gr.Textbox(label="Paste this into ChatGPT (GPT-4 preferred; on Mac, click text and press Command+A and Command+C to copy all)")
+                gr.HTML("<a href='https://chat.openai.com' target='_blank'>Click here to open ChatGPT</a>")
         generate_btn.click(fn=get_lmd_prompt, inputs=[prompt, template], outputs=output, api_name="get_lmd_prompt")
     
         gr.Examples(

gradio_cached_examples/{14 → 15}/log.csv

@@ -30,7 +30,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a gray cat and an orange dog on the grass.
-Objects: ",,,2023-06-15 09:35:52.218273
+Objects: ",,,2023-06-15 12:05:24.528652
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -62,7 +62,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: In an indoor scene, a blue cube directly above a red cube with a vase on the left of them.
-Objects: ",,,2023-06-15 09:35:52.218791
+Objects: ",,,2023-06-15 12:05:24.529323
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -94,7 +94,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a wooden table without bananas in an indoor scene
-Objects: ",,,2023-06-15 09:35:52.219289
+Objects: ",,,2023-06-15 12:05:24.529876
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -126,7 +126,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A man in red is standing next to another woman in blue in the mountains.
-Objects: ",,,2023-06-15 09:35:52.219742
+Objects: ",,,2023-06-15 12:05:24.530394
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -158,4 +158,4 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: 一个室内场景的水彩画，一个桌子上面放着一盘水果
-Objects: ",,,2023-06-15 09:35:52.220406
+Objects: ",,,2023-06-15 12:05:24.530906

gradio_cached_examples/38/Generated image/148d3dde-4179-4292-b993-143fd15e9398/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/38/Generated image/148d3dde-4179-4292-b993-143fd15e9398/5925a9dc4b13242116df32682bf6a18fc82b8176/image.png": null}

gradio_cached_examples/38/Generated image/1547ec6a-5af3-49dd-9b68-d08c023ad8f8/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/38/Generated image/1547ec6a-5af3-49dd-9b68-d08c023ad8f8/e3839730ea5d0b91f661a68669ed0803325bacc4/image.png": null}

gradio_cached_examples/38/Generated image/60d193e4-3d27-4007-9120-6a96c6678db9/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/38/Generated image/60d193e4-3d27-4007-9120-6a96c6678db9/e90243b7c539e93f3906354f759e117b55c35a18/image.png": null}

gradio_cached_examples/38/Generated image/9dbee7af-40cb-4416-ba6d-4a051fa8edb3/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/38/Generated image/9dbee7af-40cb-4416-ba6d-4a051fa8edb3/2efc85ea287574205da430f9450f330835b7e514/image.png": null}

gradio_cached_examples/38/Generated image/dbb8883c-9107-42f0-8e5d-01119e1898d8/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/38/Generated image/dbb8883c-9107-42f0-8e5d-01119e1898d8/706e488f6c9f497e763e653f3b923f5fde09c790/image.png": null}

gradio_cached_examples/38/log.csv

@@ -1,6 +0,0 @@
-Generated image,flag,username,timestamp
-./gradio_cached_examples/38/Generated image/dbb8883c-9107-42f0-8e5d-01119e1898d8,,,2023-06-15 09:35:58.721429
-./gradio_cached_examples/38/Generated image/1547ec6a-5af3-49dd-9b68-d08c023ad8f8,,,2023-06-15 09:36:03.830439
-./gradio_cached_examples/38/Generated image/9dbee7af-40cb-4416-ba6d-4a051fa8edb3,,,2023-06-15 09:36:10.699609
-./gradio_cached_examples/38/Generated image/148d3dde-4179-4292-b993-143fd15e9398,,,2023-06-15 09:36:14.053641
-./gradio_cached_examples/38/Generated image/60d193e4-3d27-4007-9120-6a96c6678db9,,,2023-06-15 09:36:19.154572

gradio_cached_examples/39/Generated image/0a6be0bd-cbca-430f-b8ea-5ec8a0cf32f4/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/39/Generated image/0a6be0bd-cbca-430f-b8ea-5ec8a0cf32f4/19eecb28178a417970470d31103e86f52a1079b6/image.png": null}

gradio_cached_examples/39/Generated image/5818e92b-be12-44af-a000-022499aab645/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/39/Generated image/5818e92b-be12-44af-a000-022499aab645/72788356baeec6ff0f3614c57621d60a801b6a7f/image.png": null}

gradio_cached_examples/39/Generated image/92613514-ef71-44f5-807d-84a494dedeb1/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/39/Generated image/92613514-ef71-44f5-807d-84a494dedeb1/672846c3033c99ea94199567efdb1955ee5ab7ce/image.png": null}

gradio_cached_examples/39/Generated image/c048f5e9-7f96-4da7-823d-3a898a4eac92/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/39/Generated image/c048f5e9-7f96-4da7-823d-3a898a4eac92/57a1c5b1ccb262cea6f1ae86fa5e70c89d379a6f/image.png": null}

gradio_cached_examples/39/Generated image/e05fc15c-d202-4cb4-b235-6b48d03ef03b/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/39/Generated image/e05fc15c-d202-4cb4-b235-6b48d03ef03b/8821c44e2875b2e5fd9d9173c6b6bf6a5267be08/image.png": null}

gradio_cached_examples/39/log.csv

@@ -0,0 +1,6 @@
+Generated image,flag,username,timestamp
+./gradio_cached_examples/39/Generated image/e05fc15c-d202-4cb4-b235-6b48d03ef03b,,,2023-06-15 12:05:31.035765
+./gradio_cached_examples/39/Generated image/92613514-ef71-44f5-807d-84a494dedeb1,,,2023-06-15 12:05:36.136151
+./gradio_cached_examples/39/Generated image/0a6be0bd-cbca-430f-b8ea-5ec8a0cf32f4,,,2023-06-15 12:05:43.006787
+./gradio_cached_examples/39/Generated image/5818e92b-be12-44af-a000-022499aab645,,,2023-06-15 12:05:46.365679
+./gradio_cached_examples/39/Generated image/c048f5e9-7f96-4da7-823d-3a898a4eac92,,,2023-06-15 12:05:51.459497

gradio_cached_examples/50/Generated image/3a792303-91fd-4d02-be6a-0575c8f98860/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/3a792303-91fd-4d02-be6a-0575c8f98860/81be364efed834f4d9789547319059758af80c17/image.png": null}

gradio_cached_examples/50/Generated image/737d9e8d-aa0b-40eb-9b4c-1c0a5d0dd0a5/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/737d9e8d-aa0b-40eb-9b4c-1c0a5d0dd0a5/f52a03b1385c26cc9f61a584fd1706b2e8079d6c/image.png": null}

gradio_cached_examples/50/Generated image/9b3fe1f3-7d57-47ac-b374-1e7c143557f8/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/9b3fe1f3-7d57-47ac-b374-1e7c143557f8/93b938a7b0d3661ae7003ff78d76fe134b78e5ab/image.png": null}

gradio_cached_examples/50/Generated image/b1a46f13-e06b-4fd2-ba14-eb14847c6c83/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/b1a46f13-e06b-4fd2-ba14-eb14847c6c83/af0d2cb9b5cd66079367c484fb9c22d2f00df744/image.png": null}

gradio_cached_examples/50/Generated image/d72b94e5-1656-4450-8758-8b2445d7e1ea/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/d72b94e5-1656-4450-8758-8b2445d7e1ea/678005178ce187762f93d2c1647556f15c5e74b6/image.png": null}

gradio_cached_examples/50/log.csv

@@ -1,6 +0,0 @@
-Generated image,flag,username,timestamp
-./gradio_cached_examples/50/Generated image/737d9e8d-aa0b-40eb-9b4c-1c0a5d0dd0a5,,,2023-06-15 09:36:20.512311
-./gradio_cached_examples/50/Generated image/9b3fe1f3-7d57-47ac-b374-1e7c143557f8,,,2023-06-15 09:36:21.885861
-./gradio_cached_examples/50/Generated image/b1a46f13-e06b-4fd2-ba14-eb14847c6c83,,,2023-06-15 09:36:23.281078
-./gradio_cached_examples/50/Generated image/d72b94e5-1656-4450-8758-8b2445d7e1ea,,,2023-06-15 09:36:24.611777
-./gradio_cached_examples/50/Generated image/3a792303-91fd-4d02-be6a-0575c8f98860,,,2023-06-15 09:36:25.986015

gradio_cached_examples/51/Generated image/52711207-5d80-4eb1-abd1-7ca09ae82f7d/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/51/Generated image/52711207-5d80-4eb1-abd1-7ca09ae82f7d/91b5f67cc8cf5b4a8fd2aea741f4175606bbe7b5/image.png": null}

gradio_cached_examples/51/Generated image/6a5728a0-b580-4114-8c1c-7a3313fcad79/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/51/Generated image/6a5728a0-b580-4114-8c1c-7a3313fcad79/6b704ebfdeabbdcc40397de5d1d12ab6e6c167a6/image.png": null}

gradio_cached_examples/51/Generated image/8e44d54e-7b4a-46ec-aacc-67ef88a61505/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/51/Generated image/8e44d54e-7b4a-46ec-aacc-67ef88a61505/7778fc9077843c4de514cab097cc5ce9d689be7d/image.png": null}

gradio_cached_examples/51/Generated image/98ce623d-5866-46ae-8e57-4690871fa04f/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/51/Generated image/98ce623d-5866-46ae-8e57-4690871fa04f/da7f62f9d0ef44ec431cec8a80a9eabfea6794ab/image.png": null}

gradio_cached_examples/51/Generated image/b9462897-294a-42b2-9cd6-89d348b707fc/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/51/Generated image/b9462897-294a-42b2-9cd6-89d348b707fc/5981833148e050fc2bbd906d2a91cc66a2782ac0/image.png": null}

gradio_cached_examples/51/log.csv

@@ -0,0 +1,6 @@
+Generated image,flag,username,timestamp
+./gradio_cached_examples/51/Generated image/52711207-5d80-4eb1-abd1-7ca09ae82f7d,,,2023-06-15 12:05:52.813792
+./gradio_cached_examples/51/Generated image/6a5728a0-b580-4114-8c1c-7a3313fcad79,,,2023-06-15 12:05:54.185722
+./gradio_cached_examples/51/Generated image/98ce623d-5866-46ae-8e57-4690871fa04f,,,2023-06-15 12:05:55.579429
+./gradio_cached_examples/51/Generated image/b9462897-294a-42b2-9cd6-89d348b707fc,,,2023-06-15 12:05:56.908080
+./gradio_cached_examples/51/Generated image/8e44d54e-7b4a-46ec-aacc-67ef88a61505,,,2023-06-15 12:05:58.282893