Update copy

README.md

@@ -1,5 +1,5 @@
 ---
-title: Posters
+title: Perspectives on AI
 emoji: 🖼
 colorFrom: purple
 colorTo: red

app.py

@@ -23,9 +23,10 @@ API_CREATE_ENDPOINT = f"{API_ENDPOINT}/{DREAMLOOK_API_ENDPOINT_IMAGE_CREATE_PATH
 API_STATUS_ENDPOINT = f"{API_ENDPOINT}/jobs/image-gen/"
 
 examples = [
-    "The poster features an illustration of four figures standing under a tree with orange fruits. The woman on the left is dressed in a dark robe and holding an orange, while the woman next to her is wearing a red dress and playing a string instrument. In the center, a man in dark clothes holds an orange in one hand and a book in the other.",
+    # "an illustrated poster with bold typography showing a duck eating nestle chocolate",
+    "A dark-toned poster featuring intricate, vertical sculptural designs with cultural motifs. The text is white, creating a stark contrast, and the overall composition is minimalist yet striking.",
     "The poster features a model striking a pose while wearing a blue outfit that blends with the blue background. Bold yellow text across the upper half reads 'Tu vois la vie en Dim!'. There is a yellow and blue square graphic on the right side with additional text. The overall aesthetic is vibrant and energetic.",
-    "The poster features a dynamic and bold design with a pink background. The central focus is on three fashionably dressed figures, two women and one man, illustrated in a stylized, almost comic-book manner, using black and white lines. The women are wearing elegant coats that seem to flow, while the man appears to be looking up at them.",
+    "A screen-printed poster with a high-contrast black and red design, featuring a monochrome illustration of a person, and bold, flowing text in white and red: \"Da oggi vestiamo anche lui! Les Griffes UOMO Lugano, Via Pioda 9 GHERARDINI in esclusiva\"",
 ]
 
 NEGATIVE_PROMPT = "lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, text, signature, watermark, username, blurry"
@@ -90,10 +91,16 @@ def infer(prompt, negative_prompt, seed, randomize_seed, guidance_scale):
 
 
 with gr.Blocks() as demo:
+    gr.Markdown("# Perspectives on AI")
+    gr.Markdown("In the context of the AGI [Perspectives on AI](https://agi-open.com/) exhibition, [dreamlook.ai](https://dreamlook.ai/) has created an image generation model using thousands of posters from the [Plakatsammlung der Schule für Gestaltung Basel](https://www.sfgbasel.ch/plakatsammlung) to enable exploration of this collection through prompts.")
+    # gr.Markdown("Write a prompt then click on \"Generate image\"")
+    gr.Markdown("[Read more...](https://dreamlook.ai/perspectives-on-ai)")
+
     with gr.Row():
         with gr.Column():
             prompt = gr.Textbox(
                 label="Prompt",
+                info="Describe the image you want to generate, or click on a sample prompt below.",
                 placeholder="Enter your prompt",
                 max_lines=10,
             )
@@ -102,17 +109,34 @@ with gr.Blocks() as demo:
                 placeholder="Enter a negative prompt (optional)",
                 visible=False
             )
-            seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, value=42, visible=True)
-            randomize_seed = gr.Checkbox(label="Randomize Seed", value=False, visible=True)
-            guidance_scale = gr.Slider(label="Guidance Scale", minimum=5.0, maximum=15.0, value=10.0)
+            seed = gr.Slider(
+                label="Seed",
+                info="The random number used to create your image. Change it to explore variants.",
+                minimum=0,
+                maximum=MAX_SEED,
+                value=42,
+                visible=True
+            )
+            randomize_seed = gr.Checkbox(
+                label="Randomize Seed",
+                value=False,
+                visible=False
+            )
+            guidance_scale = gr.Slider(
+                label="Guidance Scale",
+                info="Defined how much your prompt is taken into account when generating the image.",
+                minimum=5.0,
+                maximum=15.0,
+                value=10.0
+            )
             # num_inference_steps = gr.Slider(label="Number of Inference Steps", minimum=10, maximum=30, value=20)
             gr.Examples(
                 examples=examples,
                 inputs=[prompt],
-                label="Example prompts"
+                label="Sample prompts",
             )
             run_button = gr.Button(
-                "Run",
+                "Generate image",
             )
 
         with gr.Column():