Create app.py

app.py

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+import gradio as gr
+import os
+
+loras = [
+  {
+      "image": "https://huggingface.co/Remade-AI/Squish/resolve/main/example_videos/tank_squish.mp4",
+      "id": "squish",
+      "title": "Squish"
+  },  
+  {
+      "image": "https://huggingface.co/Remade-AI/Rotate/resolve/main/example_videos/man_rotate.mp4",
+      "id": "rotate",
+      "title": "Rotate"
+    },
+    
+]
+
+### Inside this function you can add a call to your backend passing the arguments, then you can return the path to a downloaded video
+### To not have the code/API public, you can go on "Settings" and add a Secret. The secrets appear here as environemnt variables, e.g.
+### os.getenv('BACKEND_URL')
+### os.getenv('API_KEY')
+def generate_video(input_image, prompt, duration, selected_index):
+  pass
+
+def update_selection(evt: gr.SelectData):
+  selected_lora = loras[evt.index]
+  sentence = f"Selected LoRA: {selected_lora['title']}"
+  return selected_lora['id'], sentence
+
+with gr.Blocks() as demo:
+    selected_index = gr.State(None)
+    gr.Markdown("# Remade AI - Wan 2.1 I2V effects LoRAs ")
+    selected_info = gr.HTML("")
+    with gr.Row():
+      with gr.Column():
+        gallery = gr.Gallery(
+          [(item["image"], item["title"]) for item in loras],
+          label="Select LoRA",
+          allow_preview=False,
+          columns=4,
+          elem_id="gallery",
+          show_share_button=False,
+          height=350
+        )
+        input_image = gr.Image()
+        prompt = gr.Textbox(label="Describe your object", placeholder="Cat toy")
+        duration = gr.Radio(["Short (3s)", "Long (5s)"], label="Duration")
+        
+        button = gr.Button("Generate")
+      with gr.Column():
+        output = gr.Video(interactive=False, label="Output video")
+        
+    gallery.select(
+        update_selection,
+        outputs=[selected_index, selected_info]
+    )  
+    button.click(
+      generate_video,
+      inputs=[input_image, prompt, duration, selected_index],
+      outputs=[output]
+    )
+
+if __name__ == "__main__":
+    demo.launch()