bethecloud's picture
Update app.py
3eba7f6
raw
history blame
2.41 kB
import os
import gradio as gr
from modelscope.pipelines import pipeline
from modelscope.outputs import OutputKeys
import requests
import tempfile
import boto3
from botocore.exceptions import NoCredentialsError
# Read S3 keys from environment variables
s3_access_key = "juj22qxqxql7u2pl6nomgxu3ip7a"
s3_secret_key = "j3uwidtozhboy5vczhymhzkkjsaumznnqlzck5zjs5qxgsung4ukk"
s3_endpoint = "https://gateway.storjshare.io"
# Initialize Storj with boto3
s3 = boto3.client(
"s3",
endpoint_url=s3_endpoint,
aws_access_key_id=s3_access_key,
aws_secret_access_key=s3_secret_key,
)
p = pipeline("text-to-video-synthesis", "damo/text-to-video-synthesis")
async def generate_video(text_input: str, duration: int) -> (str, str):
test_text = {'text': text_input, 'duration': duration}
output_video_path = p(test_text,)[OutputKeys.OUTPUT_VIDEO]
# Upload to Storj
with open(output_video_path, "rb") as f:
video_key = os.path.basename(output_video_path)
s3.upload_fileobj(f, "huggingface-demo", video_key)
# Generate signed URL for uploaded video
try:
storj_video_url = s3.generate_presigned_url(
"get_object",
Params={"Bucket": "huggingface-demo", "Key": video_key},
ExpiresIn=3600,
)
except NoCredentialsError:
print("Credentials not available")
return None
# Download the video from Storj to a temporary file
response = requests.get(storj_video_url, stream=True)
response.raise_for_status()
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as temp_file:
for chunk in response.iter_content(chunk_size=8192):
temp_file.write(chunk)
local_video_path = temp_file.name
return local_video_path, storj_video_url
# Use the custom Gradio theme
storj_theme = gr.Theme.from_hub("bethecloud/storj_theme")
iface = gr.Interface(
fn=generate_video,
inputs=[
gr.inputs.Textbox(lines=3, label="Input text"),
gr.inputs.Slider(minimum=1, maximum=60, step=1, default=5, label="Duration (seconds)")
],
outputs=[
gr.outputs.Video(label="Generated Video"),
gr.outputs.Textbox(label="Storj Video URL")
],
title="Text to Video to Storj",
theme=storj_theme # Pass the theme to the Interface
)
iface.launch(share=False, debug=True) # Set share to False when deploying to Hugging Face Spaces