Build Wan 2.2 text-to-video Gradio app

Switch from TI2V-5B to T2V-14B model, add themed UI with header,
sidebar with model info, and example prompts table.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -1,6 +1,6 @@
 ---
 title: WanTwoPointTwo
-emoji: 🌍
+emoji: 🎬
 colorFrom: purple
 colorTo: indigo
 sdk: gradio
@@ -8,10 +8,8 @@ sdk_version: 6.6.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: Wan2.2 for the win
+short_description: Wan 2.2 Text-to-Video Generator
 hf_oauth: true
 hf_oauth_scopes:
 - inference-api
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,10 +1,50 @@
 import gradio as gr
 
-with gr.Blocks(fill_height=True) as demo:
+HEADER = """
+# Wan 2.2 — Text to Video Generator
+
+Generate videos from text prompts using **Wan-AI/Wan2.2-T2V-14B**.
+Powered by the **fal-ai** inference provider. Sign in with your Hugging Face account to get started.
+"""
+
+EXAMPLES = [
+    "A golden retriever running through a sunlit meadow in slow motion, cinematic lighting",
+    "A futuristic city at night with flying cars and neon lights reflecting off wet streets",
+    "An astronaut floating in space with Earth in the background, gentle camera rotation",
+    "Ocean waves crashing on a rocky coastline at sunset, dramatic sky with orange and purple clouds",
+    "A steaming cup of coffee on a wooden table with rain falling outside the window",
+]
+
+with gr.Blocks(
+    fill_height=True,
+    theme=gr.themes.Soft(primary_hue="indigo", secondary_hue="purple"),
+    title="Wan 2.2 Text-to-Video",
+) as demo:
+
     with gr.Sidebar():
-        gr.Markdown("# Inference Provider")
-        gr.Markdown("This Space showcases the Wan-AI/Wan2.2-TI2V-5B model, served by the fal-ai API. Sign in with your Hugging Face account to use this API.")
+        gr.Markdown("## Account")
+        gr.Markdown(
+            "This Space uses the **fal-ai** inference API. "
+            "Sign in with your Hugging Face account to use it."
+        )
         button = gr.LoginButton("Sign in")
-    gr.load("models/Wan-AI/Wan2.2-TI2V-5B", accept_token=button, provider="fal-ai")
-    
-demo.launch()
+        gr.Markdown("---")
+        gr.Markdown(
+            "**Model:** [Wan-AI/Wan2.2-T2V-14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-14B)\n\n"
+            "**Provider:** fal-ai"
+        )
+
+    gr.Markdown(HEADER)
+    gr.load(
+        "models/Wan-AI/Wan2.2-T2V-14B",
+        accept_token=button,
+        provider="fal-ai",
+    )
+    gr.Markdown("### Example Prompts")
+    gr.Dataframe(
+        value=[[e] for e in EXAMPLES],
+        headers=["Prompt idea — copy and paste above"],
+        interactive=False,
+    )
+
+demo.launch()