app.py

# Gradio code example for image creation
import os
import io
import gradio as gr
from PIL import Image
import requests
#from gradio.mix import Series

irs_api_key = os.environ.get("IRS_API_KEY")


# Function to call the text-to-video model API
def text_to_video(prompt):
    # Fetch the API key from the environment variable
    api_key = os.environ.get("IRS_API_KEY")
    url = "https://api-inference.huggingface.co/models/ali-vilab/text-to-video-ms-1.7b"
    
    # Set up the headers for authentication
    headers = {
        "Authorization": f"Bearer {api_key}"
    }
    
    # Set up the payload with the input prompt
    data = {
        "prompt": prompt
    }
    
    # Make the request to the model API
    response = requests.post(url, headers=headers, json=data)
    
    # Check if the request was successful
    if response.status_code == 200:
        # Assuming the API returns the URL of the generated video
        video_url = response.json().get("video_url")
        return video_url
    else:
        # Handle errors or unsuccessful requests
        return "Error generating video. Please try again."

# Define the Gradio interface
iface = gr.Interface(
    fn=text_to_video,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Video(label="Generated Video"),
    title="Text to Video Generation",
    description="Enter a prompt to generate a video."
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch()