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Update app.py
Browse files
app.py
CHANGED
@@ -1,15 +1,11 @@
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import gradio as gr
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from lumaai
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import requests
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from io import BytesIO
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import os
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# Initialize LumaAI client
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def create_client(api_key):
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return
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# Basic video generation
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def generate_video(api_key, prompt, aspect_ratio, loop):
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client = create_client(api_key)
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try:
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@@ -22,7 +18,6 @@ def generate_video(api_key, prompt, aspect_ratio, loop):
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except Exception as e:
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return None, f"Error: {str(e)}"
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# Polling generation status
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def poll_generation(api_key, generation_id):
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if not generation_id:
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return "No generation in progress", None
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@@ -30,17 +25,10 @@ def poll_generation(api_key, generation_id):
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client = create_client(api_key)
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try:
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generation = client.generations.get(id=generation_id)
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status
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thumbnail_url = generation.assets.thumbnail
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# Fetch the thumbnail image
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thumbnail_response = requests.get(thumbnail_url)
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thumbnail = thumbnail_response.content if thumbnail_response.status_code == 200 else None
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return status, thumbnail
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except Exception as e:
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return f"Error: {str(e)}", None
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# Download the generated video
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def download_video(api_key, generation_id):
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if not generation_id:
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return None
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@@ -51,14 +39,9 @@ def download_video(api_key, generation_id):
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video_url = generation.assets.video
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response = requests.get(video_url, stream=True)
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if response.status_code != 200:
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return None
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file_name = f"generated_video_{generation_id}.mp4"
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with open(file_name, 'wb') as file:
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if chunk:
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file.write(chunk)
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return file_name
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except Exception as e:
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@@ -68,53 +51,23 @@ with gr.Blocks() as demo:
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gr.Markdown("# Luma AI Video Generation Demo")
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gr.Markdown("Generate videos using Luma AI based on text prompts.")
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api_key = gr.Textbox(
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label="Enter your Luma AI API Key",
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type="password",
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placeholder="sk-..."
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)
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with gr.Row():
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with gr.Column(scale=2):
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prompt = gr.Textbox(
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lines=2
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)
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aspect_ratio = gr.Dropdown(
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choices=["16:9", "9:16", "1:1", "4:3", "3:4"],
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label="Aspect Ratio",
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value="16:9"
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)
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loop = gr.Checkbox(
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label="Loop",
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value=False
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)
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generate_btn = gr.Button("Generate Video")
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with gr.Column(scale=3):
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status = gr.Textbox(
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)
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thumbnail = gr.Image(
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label="Thumbnail",
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interactive=False
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)
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video = gr.Video(
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label="Generated Video",
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interactive=False
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)
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generation_id = gr.State()
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# Generate Video Action
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def on_generate(api_key, prompt, aspect_ratio, loop):
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if not api_key:
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return None, "Please provide a valid API key."
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if not prompt:
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return None, "Prompt cannot be empty."
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gen_id, message = generate_video(api_key, prompt, aspect_ratio, loop)
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return gen_id, message
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outputs=[generation_id, status]
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)
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# Check Status and Display Results
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def on_poll(api_key, gen_id):
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if not gen_id:
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return "No generation in progress.", None, None
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status_text, thumb_data = poll_generation(api_key, gen_id)
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if status_text.lower() == "completed":
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video_path = download_video(api_key, gen_id)
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else:
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video_output = None
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else:
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video_output = None
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# Convert thumbnail bytes to image format
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if thumb_data:
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thumb_image = Image.open(BytesIO(thumb_data))
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else:
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thumb_image = None
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return status_text, thumb_image, video_output
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poll_btn = gr.Button("Check Status")
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poll_btn.click(
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inputs=[api_key, generation_id],
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outputs=[status, thumbnail, video]
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)
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gr.Markdown("""
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---
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### Documentation & Resources
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- [Luma AI Python SDK](https://github.com/lumalabs/lumaai-python)
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- [Get API Key](https://lumalabs.ai/dream-machine/api/keys)
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""")
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demo.launch()
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import gradio as gr
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from lumaai import Lumaai
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import requests
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import time
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def create_client(api_key):
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return Lumaai(auth_token=api_key)
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def generate_video(api_key, prompt, aspect_ratio, loop):
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client = create_client(api_key)
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try:
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except Exception as e:
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return None, f"Error: {str(e)}"
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def poll_generation(api_key, generation_id):
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if not generation_id:
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return "No generation in progress", None
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client = create_client(api_key)
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try:
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generation = client.generations.get(id=generation_id)
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return generation.status, generation.assets.thumbnail
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except Exception as e:
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return f"Error: {str(e)}", None
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def download_video(api_key, generation_id):
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if not generation_id:
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return None
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video_url = generation.assets.video
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response = requests.get(video_url, stream=True)
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file_name = f"generated_video_{generation_id}.mp4"
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with open(file_name, 'wb') as file:
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file.write(response.content)
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return file_name
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except Exception as e:
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gr.Markdown("# Luma AI Video Generation Demo")
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gr.Markdown("Generate videos using Luma AI based on text prompts.")
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api_key = gr.Textbox(label="Enter your Luma AI API Key", type="password")
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with gr.Row():
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with gr.Column(scale=2):
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prompt = gr.Textbox(label="Prompt")
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aspect_ratio = gr.Dropdown(["16:9", "9:16", "1:1", "4:3", "3:4"], label="Aspect Ratio")
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loop = gr.Checkbox(label="Loop")
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generate_btn = gr.Button("Generate Video")
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with gr.Column(scale=3):
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status = gr.Textbox(label="Status")
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thumbnail = gr.Image(label="Thumbnail")
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video = gr.Video(label="Generated Video")
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generation_id = gr.State()
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def on_generate(api_key, prompt, aspect_ratio, loop):
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gen_id, message = generate_video(api_key, prompt, aspect_ratio, loop)
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return gen_id, message
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outputs=[generation_id, status]
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)
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def on_poll(api_key, gen_id):
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status, thumb = poll_generation(api_key, gen_id)
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if status == "completed":
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video_path = download_video(api_key, gen_id)
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return status, thumb, video_path
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return status, thumb, None
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poll_btn = gr.Button("Check Status")
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poll_btn.click(
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inputs=[api_key, generation_id],
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outputs=[status, thumbnail, video]
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)
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demo.launch()
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