text2video 0.0.3

Utils for text2video generation models

Official text2video package

This is the official github repo of pypi package text2video (https://pypi.org/project/text2video/). This repo is intended to provide common interface to help develop text2video related Vision-Language Models and related deployed APIs. There are also many brilliant AI apps released such as Runway AI, Pika AI, Kling AI, etc. Right now it has just started from scratch and you are very welcome to contact us if you would like to commit to this repo and facilitate the community.

pip install text2video

An example of Calling arxiv.org to Fetch Latest "Text To Video" Related Papers

import text2video as t2v

input_dict = {"text": "Text to Video"}

res = t2v.api(input_dict, model=None, api_name="ArxivPaperAPI", start=0, max_results = 3)
paper_list = json.loads(res["text"])
print ("###### Text to Image Recent Paper List:")
for (i, paper_json) in enumerate(paper_list):
    print ("### PAPER %d" % (i+1))
    print (paper_json)

Common Interface of Text to Video Application

class YouText2VideoAPI(BaseAPI):
    """docstring for ClassName"""
    def __init__(self, configs):
        super(YouText2VideoAPI, self).__init__(configs)
        self.name = "xxxxx"

    def api(self, input_dict, model, kwargs):
        """
            Args:
                input_dict: dict, multi-modal input text, image, audio and video
                model: huggingface model of tf or pytoch
                kwargs: key-value args
            Return:
                res_dict: dict, multi-modal text text, image, audio and video
        """
        res_dict={}
        try:
            input_text = input_dict["text"]   # str
            input_image = input_dict["image"] # image path
            input_audio = input_dict["audio"] # audio path
            input_video = input_dict["video"] # video path

            res_dict["text"] = None
            res_dict["image"] = None
            res_dict["audio"] = None
            res_dict["video"] = None
        except Exception as e:
            print (e)
        return res_dict

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