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app.py

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+import gradio as gr
+from transformers import pipeline
+import io, base64
+from PIL import Image
+import numpy as np
+import tensorflow as tf
+import mediapy
+import os
+import sys
+from huggingface_hub import snapshot_download
+
+image_gen = gr.Interface.load("spaces/multimodalart/latentdiffusion")
+
+os.system("git clone https://github.com/google-research/frame-interpolation")
+sys.path.append("frame-interpolation")
+from eval import interpolator, util
+
+ffmpeg_path = util.get_ffmpeg_path()
+mediapy.set_ffmpeg(ffmpeg_path)
+
+model = snapshot_download(repo_id="akhaliq/frame-interpolation-film-style")
+interpolator = interpolator.Interpolator(model, None)
+
+def generate_story(choice, input_text):
+    query = "<BOS> <{0}> {1}".format(choice, input_text)
+    
+    print(query)
+    generated_text = story_gen(query)
+    generated_text = generated_text[0]['generated_text']
+    generated_text = generated_text.split('> ')[2]
+    
+    return generated_text
+    
+def generate_images(text):
+    steps=50
+    width=256
+    height=256
+    num_images=4
+    diversity=4
+    image_bytes = image_gen(text, steps, width, height, num_images, diversity)
+    
+    # Algo from spaces/Gradio-Blocks/latent_gpt2_story/blob/main/app.py
+    generated_images = []
+    for image in image_bytes[1]:
+        image_str = image[0]
+        image_str = image_str.replace("data:image/png;base64,","")
+        decoded_bytes = base64.decodebytes(bytes(image_str, "utf-8"))
+        img = Image.open(io.BytesIO(decoded_bytes))
+        generated_images.append(img)
+        
+    return generated_images
+    
+def generate_interpolation(text):
+    times_to_interpolate = 4
+    
+    generated_images = generate_images(text)
+    
+    generated_images[0].save('frame_0.png')
+    generated_images[1].save('frame_1.png')
+    generated_images[2].save('frame_2.png')
+    generated_images[3].save('frame_3.png')
+    
+    input_frames = ["frame_0.png", "frame_1.png", "frame_2.png", "frame_3.png"]
+
+    frames = list(util.interpolate_recursively_from_files(input_frames, times_to_interpolate, interpolator))
+
+    mediapy.write_video("out.mp4", frames, fps=7)
+    
+    return "out.mp4"
+    
+    
+
+demo = gr.Blocks()
+
+with demo:
+    input_start_text = gr.Textbox(placeholder='A yellow face amazon parrot saddles up his horse and goes for a horseback ride across the Amazon river', label="Starting Text")
+    button_gen_video = gr.Button("Generate Video")
+    output_interpolation = gr.Video(label="Generated Video")
+            
+    button_gen_video.click(fn=generate_interpolation, inputs=input_start_text, outputs=output_interpolation)
+
+demo.launch(debug=True, enable_queue=True)