AI:AI video generation platform, which uses, chatgpt api, pixabay api, amazon voice generator api, to build video when an input is given in the prompt, for example: build a video of 60 seconds about a coffee making process", then the app should utilize chatgpt to build the video script first, and then extract keywords in it and search pixabay for videos and generate voice for that script and produce a video with the voice and subtitles and export.

To create an AI video generation platform in Python that utilizes the ChatGPT API, Pixabay API, and Amazon Polly (voice generator) API, you can follow the steps below:

1. Install necessary libraries:

   bash
   pip install openai pixabay amazon-polly requests
   

2. Import the required libraries:

   python
   import openai
   import pixabay
   from amazon_polly import AmazonPolly
   import requests
   import json
   from moviepy.editor import VideoClip, TextClip, concatenate_videoclips
   

3. Set up API keys for ChatGPT (OpenAI), Pixabay, and Amazon Polly:

   python
   openai.api_key = 'YOUR_OPENAI_API_KEY'
   pixabay_api_key = 'YOUR_PIXABAY_API_KEY'
   amazon_polly_access_key = 'YOUR_AMAZON_POLLY_ACCESS_KEY'
   amazon_polly_secret_key = 'YOUR_AMAZON_POLLY_SECRET_KEY'
   

4. Define a function to generate video script using ChatGPT:

   python
   def generate_script(prompt):
       response = openai.Completion.create(
           engine="text-davinci-003",
           prompt=prompt,
           temperature=0.5,
           max_tokens=200
       )
       return response.choices[0].text.strip()
   

5. Define a function to search for relevant videos on Pixabay:

   python
   def search_videos(query):
       api = pixabay.Pixabay(api_key=pixabay_api_key)
       response = api.video_search(q=query, per_page=5)
       return [video['videos']['large']['url'] for video in response['hits']]
   

6. Define a function to generate voice using Amazon Polly:

   python
   def generate_voice(text):
       polly = AmazonPolly(amazon_polly_access_key, amazon_polly_secret_key)
       response = polly.create_speech(
           text,
           voice_id='Joanna',
           output_format='mp3'
       )
       return response['url']
   

7. Define a function to create the video:

   python
   def create_video(script, videos, voice_url):
       clips = []
       for video_url in videos:
           clips.append(VideoClip(video_url))
       concatenated_clips = concatenate_videoclips(clips)
       voice_clip = TextClip(script, fontsize=24, color='white')
       voice_clip = voice_clip.set_audio(voice_url)
       final_clip = concatenate_videoclips([concatenated_clips, voice_clip])
       final_clip.write_videofile("output.mp4", codec="libx264", fps=24)
   

8. Main function to orchestrate the process:

   python
   def main(prompt):
       script = generate_script(prompt)
       videos = search_videos(script)
       voice_url = generate_voice(script)
       create_video(script, videos, voice_url)
   
   if __name__ == "__main__":
       prompt = input("Enter the prompt for video generation: ")
       main(prompt)
   

This code will prompt the user to input a prompt for video generation, then it will use ChatGPT to generate a video script, Pixabay to search for relevant videos, and Amazon Polly to generate voice for the script. Finally, it will combine the videos with the voice and export the video file as "output.mp4". Make sure to replace 'YOUR_OPENAI_API_KEY', 'YOUR_PIXABAY_API_KEY', 'YOUR_AMAZON_POLLY_ACCESS_KEY', and 'YOUR_AMAZON_POLLY_SECRET_KEY' with your actual API keys.

================================================================

 Here's a Python code outline for an AI video generation platform using the provided APIs, with explanations:

Python

Explanation:

1. Import Libraries: We import necessary libraries for interacting with APIs and video editing using MoviePy.
2. API Keys: Replace placeholders with your actual API keys for ChatGPT, Pixabay, and AWS services (Textract and Polly).
3. generate_video Function: This function takes the user prompt and video length as input.
4. ChatGPT Script Generation: It uses the ChatGPT API to generate a script based on the prompt.
5. Keyword Extraction: Amazon Textract is used to extract keywords from the script.
6. Pixabay Video Search: The script searches for relevant videos on Pixabay based on extracted keywords.
7. Amazon Polly Voiceover: The script is converted to speech using Amazon Polly and saved as an MP3 file.
8. Video Editing and Subtitles: MoviePy is used to combine video clips, the voiceover, and generate subtitle clips based on the script lines. These are then combined into a final video with desired length and frame rate.
9. Video Export: The final video is exported as "output.mp4" and the temporary voiceover MP3 file is deleted.
10. Main Function: This demonstrates how to call the generate_video function with an example prompt.

Note:

• This is a basic example and might require adjustments depending on specific API

========================================

Here's a Python code outline for an AI video generation platform using the mentioned APIs, with disclaimers and improvements:

Python

Disclaimers and Improvements:

• Replace placeholders: You'll need to replace placeholders with your actual API keys and credentials for ChatGPT, Pixabay, and Amazon Polly.
• ChatGPT Integration: This code assumes you have a way to integrate with the ChatGPT API. Refer to their documentation for details.
• Keyword Extraction: The extract_keywords function is not implemented. You'll need to choose a suitable keyword extraction library or implement a basic version.
• Error Handling: The code currently lacks error handling for cases like empty Pixabay results or audio file issues. Consider adding checks and alternative actions.
• Subtitles: Adding subtitles is not implemented here. You can explore libraries like moviepy.text or external solutions.
• Video Editing: This is a basic example. Consider advanced video editing techniques for smoother transitions and effects.

Additional Notes:

• This code provides a framework. You can customize it further based on your specific needs and desired functionalities.
• Consider exploring alternative AI text-to-video generation tools that might offer more comprehensive solutions.

=============================================

Here's a Python code outline for an AI video generation platform using the provided APIs:

Python

Explanation:

1. The code defines a generate_video function that takes a prompt as input.
2. It simulates calling a ChatGPT API to generate a script based on the prompt (replace with your actual API call).
3. Keywords are extracted from the script.
4. The code simulates calling a Pixabay API to search for relevant video clips based on keywords (replace with your actual API call).
5. It simulates calling an Amazon Voice Generator API to generate voice narration for the script (replace with your actual API call).
6. Subtitles are created from the script using MoviePy's TextClip functionality.
7. The code combines video clips (if found), voice narration, and subtitles using MoviePy. It handles potential mismatches in clip lengths by trimming if necessary.
8. Finally, the final video is exported as an MP4 file.

Important Notes:

• Replace the placeholder functions with your actual API calls and logic for interacting with ChatGPT, Pixabay, and Amazon Voice Generator.
• Consider error handling and user feedback mechanisms for a more robust application.
• Ensure you have the required libraries (requests, moviepy) installed (pip install requests moviepy).
• Adhere to the terms and conditions of each API you use.

This code provides a basic structure. You'll need to implement the specific API calls and handle potential issues like video clip availability and length discrepancies.

Remember, using these APIs might require paid subscriptions or have usage limits. Explore the official documentation for each API for details.

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