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| from xml.dom.pulldom import SAX2DOM | |
| from ..tool import Tool | |
| from gradio_tools.tools import ( | |
| BarkTextToSpeechTool, | |
| StableDiffusionTool, | |
| DocQueryDocumentAnsweringTool, | |
| ImageCaptioningTool, | |
| StableDiffusionPromptGeneratorTool, | |
| TextToVideoTool, | |
| ImageToMusicTool, | |
| WhisperAudioTranscriptionTool, | |
| ClipInterrogatorTool, | |
| ) | |
| from gradio_client.client import Job | |
| from gradio_client.utils import QueueError | |
| import time | |
| def build_tool(config) -> Tool: | |
| tool = Tool( | |
| "GradioTool", | |
| "Gradio_tools Converter", | |
| name_for_model="gradio_tool", | |
| description_for_model="Python library for converting Gradio apps into tools that can be leveraged by a large language model (LLM)-based agent to complete its task.", | |
| logo_url="https://your-app-url.com/.well-known/logo.png", | |
| contact_email="hello@contact.com", | |
| legal_info_url="hello@legal.com", | |
| ) | |
| def bark(input: str) -> str: | |
| """Converting text into sounds that sound like a human read it.""" | |
| bk = BarkTextToSpeechTool() | |
| return bk.run(input) | |
| def qa(input: str) -> str: | |
| """Answering questions from the image of the document.""" | |
| qa = DocQueryDocumentAnsweringTool() | |
| return qa.run(input) | |
| def imagecaption(input: str) -> str: | |
| """Creating a caption for an image.""" | |
| ic = ImageCaptioningTool() | |
| return ic.run(input) | |
| def promptgenerator(input: str) -> str: | |
| """Generating a prompt for stable diffusion and other image and video generators based on text input.""" | |
| pg = StableDiffusionPromptGeneratorTool() | |
| return pg.run(input) | |
| def stablediffusion(input: str) -> str: | |
| """generate images based on text input.""" | |
| sd = StableDiffusionTool() | |
| return sd.run(input) | |
| def texttovideo(input: str) -> str: | |
| """Creating videos from text.""" | |
| tv = TextToVideoTool() | |
| return tv.run(input) | |
| def imgtomsc(input: str) -> str: | |
| """Creating music from images.""" | |
| im = ImageToMusicTool() | |
| return im.run(input) | |
| def imgtomsc(input: str) -> str: | |
| """Transcribing an audio file track into text transcript.""" | |
| at = WhisperAudioTranscriptionTool() | |
| return at.run(input) | |
| def imgprompt(input: str) -> str: | |
| """Creating a prompt for StableDiffusion that matches the input image.""" | |
| ci = ClipInterrogatorTool() | |
| return ci.run(input) | |
| return tool | |