Text to Video with Save Project

npm install axios

import axios from "axios";

const API_BASE_URL = "https://api.pictory.ai/pictoryapis";
const CLIENT_ID = "YOUR_CLIENT_ID";
const CLIENT_SECRET = "YOUR_CLIENT_SECRET";

const STORY_TEXT =
  "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency.";

async function createTextToVideoAndSaveProject() {
  try {
    // Step 1: Get Access Token
    console.log("Step 1: Getting access token...");
    const tokenResponse = await axios.post(
      `${API_BASE_URL}/v1/oauth2/token`,
      {
        client_id: CLIENT_ID,
        client_secret: CLIENT_SECRET,
      },
      {
        headers: {
          "Content-Type": "application/json",
        },
      }
    );

    const accessToken = tokenResponse.data.access_token;
    console.log("Access token obtained successfully");
    console.log("Token expires in:", tokenResponse.data.expires_in, "seconds\n");

    // Step 2: Create Video and Save as Project
    console.log("Step 2: Creating video storyboard and saving as project...");
    const storyboardResponse = await axios.post(
      `${API_BASE_URL}/v2/video/storyboard`,
      {
        videoName: "my_saved_project",
        saveProject: true, // Set to true to save the project for future editing
        scenes: [
          {
            story: STORY_TEXT,
            createSceneOnNewLine: true,
            createSceneOnEndOfSentence: true,
          },
        ],
      },
      {
        headers: {
          "Content-Type": "application/json",
          Authorization: accessToken,
        },
      }
    );

    const renderJobId = storyboardResponse.data.data.jobId;
    console.log("Storyboard with saved project job created");
    console.log("Job ID:", renderJobId, "\n");

    // Step 3: Monitor Job Status
    console.log("Step 3: Monitoring job status...");
    let jobCompleted = false;
    let jobResult = null;

    while (!jobCompleted) {
      const jobStatusResponse = await axios.get(`${API_BASE_URL}/v1/jobs/${renderJobId}`, {
        headers: {
          Authorization: accessToken,
        },
      });

      const status = jobStatusResponse.data.data.status;
      console.log("Current status:", status);

      if (status === "completed") {
        jobCompleted = true;
        jobResult = jobStatusResponse.data;
        console.log("\nStoryboard created and project saved successfully!");
        console.log("Project URL:", jobResult.data.projectUrl);
        console.log("Preview URL:", jobResult.data.previewUrl);
        console.log("\nYou can now edit this project in your Pictory account.");
      } else if (status === "failed") {
        throw new Error("Job failed: " + JSON.stringify(jobStatusResponse.data));
      } else {
        // Wait 5 seconds before checking again
        await new Promise(resolve => setTimeout(resolve, 5000));
      }
    }

    return jobResult;
  } catch (error) {
    console.error("Error:", error.response?.data || error.message);
    throw error;
  }
}

// Run the function
createTextToVideoAndSaveProject();

pip install requests

import requests
import time
import json

API_BASE_URL = 'https://api.pictory.ai/pictoryapis'
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'

STORY_TEXT = "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency."

def create_text_to_video_and_save_project():
    try:
        # Step 1: Get Access Token
        print('Step 1: Getting access token...')
        token_response = requests.post(
            f'{API_BASE_URL}/v1/oauth2/token',
            json={
                'client_id': CLIENT_ID,
                'client_secret': CLIENT_SECRET
            },
            headers={
                'Content-Type': 'application/json'
            }
        )
        token_response.raise_for_status()

        access_token = token_response.json()['access_token']
        print('Access token obtained successfully')
        print(f"Token expires in: {token_response.json()['expires_in']} seconds\n")

        # Step 2: Create Video and Save as Project
        print('Step 2: Creating storyboard and saving as project...')
        storyboard_response = requests.post(
            f'{API_BASE_URL}/v2/video/storyboard',
            json={
                'videoName': 'my_saved_project',
                'saveProject': True,  # Set to True to save the project for future editing
                'scenes': [
                    {
                        'story': STORY_TEXT,
                        'createSceneOnNewLine': True,
                        'createSceneOnEndOfSentence': True
                    }
                ]
            },
            headers={
                'Content-Type': 'application/json',
                'Authorization': access_token
            }
        )
        storyboard_response.raise_for_status()

        render_job_id = storyboard_response.json()['data']['jobId']
        print('Storyboard with saved project job created')
        print(f'Job ID: {render_job_id}\n')

        # Step 3: Monitor Job Status
        print('Step 3: Monitoring job status...')
        job_completed = False
        job_result = None

        while not job_completed:
            job_status_response = requests.get(
                f'{API_BASE_URL}/v1/jobs/{render_job_id}',
                headers={
                    'Authorization': access_token
                }
            )
            job_status_response.raise_for_status()

            status = job_status_response.json()['data']['status']
            print(f'Current status: {status}')

            if status == 'completed':
                job_completed = True
                job_result = job_status_response.json()
                print('\nStoryboard created and project saved successfully!')
                print(f"Project URL: {job_result['data']['projectUrl']}")
                print(f"Preview URL: {job_result['data'].get('previewUrl')}")
                print('\nYou can now edit this project in your Pictory account.')
            elif status == 'failed':
                raise Exception(f"Job failed: {json.dumps(job_status_response.json())}")
            else:
                # Wait 5 seconds before checking again
                time.sleep(5)

        return job_result

    except requests.exceptions.RequestException as error:
        print(f'Error: {error}')
        if hasattr(error, 'response') and error.response is not None:
            print(f'Response: {error.response.text}')
        raise

# Run the function
if __name__ == '__main__':
    create_text_to_video_and_save_project()