Video Generation

import openai

client = openai.OpenAI(
    api_key="your-api-key",
    base_url="https://ai.cyrionlabs.org/v1"
)

response = client.videos.generate(
    model="pika-labs",
    prompt="A nonprofit volunteer helping children in a community garden",
    response_format="url"
)

print(response.data[0].url)  # URL to the generated video

response = client.videos.generate(
    model="pika-labs",
    prompt="A diverse team working together on a community project",
    n=3  # Generate 3 variations
)

for i, video in enumerate(response.data):
    print(f"Video {i+1}: {video.url}")

response = client.videos.generate(
    model="pika-labs",
    prompt="A peaceful scene of volunteers planting trees in a park"
)

response = client.videos.generate(
    model="runway-ml",
    prompt="A professional documentary-style video of a nonprofit team meeting"
)

response = client.videos.generate(
    model="stable-video-diffusion",
    prompt="An artistic animation of community building and collaboration"
)

# Good: Specific action and scene description
prompt = "A group of volunteers actively planting trees in a community park, with people working together, natural lighting"

# Avoid: Static or vague descriptions
prompt = "People in a park"

# Include movement and action
prompt = "Children running and playing in a playground, with volunteers supervising, dynamic movement"

# Specify camera movement
prompt = "A slow pan across a community garden showing volunteers working, smooth camera movement"

# Specify visual style
prompt = "A cinematic shot of a nonprofit team meeting, professional lighting, modern office setting"

# Include atmosphere and mood
prompt = "A warm, welcoming scene of volunteers serving food at a community kitchen, soft lighting"

# For realistic, documentary-style videos
response = client.videos.generate(
    model="runway-ml",
    prompt="A professional documentary about a nonprofit's impact on the community"
)

# For artistic, creative videos
response = client.videos.generate(
    model="stable-video-diffusion",
    prompt="An artistic animation showing the journey of community transformation"
)

# Social media content
response = client.videos.generate(
    model="pika-labs",
    prompt="An engaging social media video showing volunteers making a difference, upbeat music, modern style"
)

# Fundraising campaigns
response = client.videos.generate(
    model="runway-ml",
    prompt="An emotional fundraising video showing the impact of donations, heartwarming scenes"
)

# Training videos
response = client.videos.generate(
    model="pika-labs",
    prompt="A professional training video for new volunteers, clear instructions, step-by-step process"
)

# Educational animations
response = client.videos.generate(
    model="stable-video-diffusion",
    prompt="An educational animation explaining climate change, scientific accuracy, engaging visuals"
)

# Event highlights
response = client.videos.generate(
    model="runway-ml",
    prompt="Highlights from a successful fundraising gala, elegant atmosphere, professional event coverage"
)

# Community events
response = client.videos.generate(
    model="pika-labs",
    prompt="A community celebration showing people coming together, festive atmosphere, diverse crowd"
)

response = client.videos.generate(
    model="pika-labs",
    prompt="A beautiful sunset over mountains",
    response_format="url"
)

video_url = response.data[0].url
print(f"Video URL: {video_url}")

response = client.videos.generate(
    model="pika-labs",
    prompt="A beautiful sunset over mountains",
    response_format="b64_json"
)

import base64
video_data = base64.b64decode(response.data[0].b64_json)

with open("generated_video.mp4", "wb") as f:
    f.write(video_data)

try:
    response = client.videos.generate(
        model="pika-labs",
        prompt="A beautiful landscape video"
    )
except openai.ContentPolicyError:
    print("The prompt violates our content policy. Please revise.")
except openai.RateLimitError:
    print("Rate limit exceeded. Please wait before making more requests.")
except openai.APIError as e:
    print(f"API error: {e}")

response = client.videos.generate(
    model="pika-labs",
    prompt="A beautiful sunset"
)

# Access response data
print(response.created)  # Timestamp
print(response.data[0].url)  # Video URL

response = client.videos.generate(
    model="pika-labs",
    prompt="A dynamic recruitment video showing diverse volunteers making a positive impact, energetic atmosphere, modern style"
)

response = client.videos.generate(
    model="runway-ml",
    prompt="A touching story video showing how donations help families in need, emotional impact, professional documentary style"
)

response = client.videos.generate(
    model="stable-video-diffusion",
    prompt="An educational animation about water conservation, colorful graphics, child-friendly, informative content"
)

response = client.videos.generate(
    model="pika-labs",
    prompt="An exciting promotional video for a charity run, participants running, community spirit, motivational atmosphere"
)

import requests

response = client.videos.generate(
    model="pika-labs",
    prompt="A community garden video"
)

video_url = response.data[0].url

# Download the video
video_response = requests.get(video_url)
with open("community_garden.mp4", "wb") as f:
    f.write(video_response.content)

# Generate video for web display
response = client.videos.generate(
    model="pika-labs",
    prompt="A nonprofit impact video"
)

video_url = response.data[0].url

# Use in HTML
html_code = f"""
<video width="640" height="360" controls>
    <source src="{video_url}" type="video/mp4">
    Your browser does not support the video tag.
</video>
"""

prompts = [
    "Volunteers helping at a food bank",
    "Children learning in an after-school program",
    "Community members planting trees",
    "A team meeting to plan fundraising events"
]

videos = []
for prompt in prompts:
    response = client.videos.generate(
        model="pika-labs",
        prompt=prompt
    )
    videos.append(response.data[0].url)
    print(f"Generated video for: {prompt}")