Update app.py

app.py

@@ -9,6 +9,14 @@ import os
 import sys
 from huggingface_hub import snapshot_download
 
+# 1. GPT-J: Story Generation Pipeline
+story_gen = pipeline("text-generation", "pranavpsv/gpt2-genre-story-generator")
+
+# 2. LatentDiffusion: Latent Diffusion Interface
+image_gen = gr.Interface.load("spaces/multimodalart/latentdiffusion")
+
+# 3. FILM: Frame Interpolation Model
+# code re-use from spaces/akhaliq/frame-interpolation/tree/main
 os.system("git clone https://github.com/google-research/frame-interpolation")
 sys.path.append("frame-interpolation")
 from eval import interpolator, util
@@ -16,10 +24,6 @@ from eval import interpolator, util
 ffmpeg_path = util.get_ffmpeg_path()
 mediapy.set_ffmpeg(ffmpeg_path)
 
-# Pipelines / Interfaces to use
-story_gen = pipeline("text-generation", "pranavpsv/gpt2-genre-story-generator")
-image_gen = gr.Interface.load("spaces/multimodalart/latentdiffusion")
-
 # spaces/akhaliq/frame-interpolation/tree/main
 model = snapshot_download(repo_id="akhaliq/frame-interpolation-film-style")
 interpolator = interpolator.Interpolator(model, None)
@@ -109,7 +113,7 @@ with demo:
             with gr.Row():
                 gr.Markdown("Image Generation Conditioned on Text: [Latent Diffusion](https://huggingface.co/spaces/multimodalart/latentdiffusion) | [Github Repo](https://github.com/CompVis/latent-diffusion)")
             with gr.Row():
-                gr.Markdown("Interpolations: [Frame Interpolation](https://huggingface.co/spaces/akhaliq/frame-interpolation) | [Github Repo](https://github.com/google-research/frame-interpolation)")
+                gr.Markdown("Interpolations: [FILM](https://huggingface.co/spaces/akhaliq/frame-interpolation) | [Github Repo](https://github.com/google-research/frame-interpolation)")
             with gr.Row():
                 gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=gradio-blocks_story_and_video_generation)")