ComponentsToolsGradioOn this pageGradioThere are many 1000s of Gradio apps on Hugging Face Spaces. This library puts them at the tips of your LLM's fingers 🦾Specifically, gradio-tools is a Python library for converting Gradio apps into tools that can be leveraged by a large language model (LLM)-based agent to complete its task. For example, an LLM could use a Gradio tool to transcribe a voice recording it finds online and then summarize it for you. Or it could use a different Gradio tool to apply OCR to a document on your Google Drive and then answer questions about it.It's very easy to create you own tool if you want to use a space that's not one of the pre-built tools. Please see this section of the gradio-tools documentation for information on how to do that. All contributions are welcome!# !pip install gradio_toolsUsing a tool​from gradio_tools.tools import StableDiffusionToollocal_file_path = StableDiffusionTool().langchain.run(    "Please create a photo of a dog riding a skateboard")local_file_path    Loaded as API: https://gradio-client-demos-stable-diffusion.hf.space ✔        Job Status: Status.STARTING eta: None    '/Users/harrisonchase/workplace/langchain/docs/modules/agents/tools/integrations/b61c1dd9-47e2-46f1-a47c-20d27640993d/tmp4ap48vnm.jpg'from PIL import Imageim = Image.open(local_file_path)display(im)Using within an agent​from langchain.agents import initialize_agentfrom langchain.llms import OpenAIfrom gradio_tools.tools import (    StableDiffusionTool,    ImageCaptioningTool,    StableDiffusionPromptGeneratorTool,    TextToVideoTool,)from langchain.memory import ConversationBufferMemoryllm = OpenAI(temperature=0)memory = ConversationBufferMemory(memory_key="chat_history")tools = [    StableDiffusionTool().langchain,    ImageCaptioningTool().langchain,    StableDiffusionPromptGeneratorTool().langchain,    TextToVideoTool().langchain,]agent = initialize_agent(    tools, llm, memory=memory, agent="conversational-react-description", verbose=True)output = agent.run(    input=(        "Please create a photo of a dog riding a skateboard "        "but improve my prompt prior to using an image generator."        "Please caption the generated image and create a video for it using the improved prompt."    ))    Loaded as API: https://gradio-client-demos-stable-diffusion.hf.space ✔    Loaded as API: https://taesiri-blip-2.hf.space ✔    Loaded as API: https://microsoft-promptist.hf.space ✔    Loaded as API: https://damo-vilab-modelscope-text-to-video-synthesis.hf.space ✔            > Entering new AgentExecutor chain...        Thought: Do I need to use a tool? Yes    Action: StableDiffusionPromptGenerator    Action Input: A dog riding a skateboard    Job Status: Status.STARTING eta: None        Observation: A dog riding a skateboard, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha    Thought: Do I need to use a tool? Yes    Action: StableDiffusion    Action Input: A dog riding a skateboard, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha    Job Status: Status.STARTING eta: None        Job Status: Status.PROCESSING eta: None        Observation: /Users/harrisonchase/workplace/langchain/docs/modules/agents/tools/integrations/2e280ce4-4974-4420-8680-450825c31601/tmpfmiz2g1c.jpg    Thought: Do I need to use a tool? Yes    Action: ImageCaptioner    Action Input: /Users/harrisonchase/workplace/langchain/docs/modules/agents/tools/integrations/2e280ce4-4974-4420-8680-450825c31601/tmpfmiz2g1c.jpg    Job Status: Status.STARTING eta: None        Observation: a painting of a dog sitting on a skateboard    Thought: Do I need to use a tool? Yes    Action: TextToVideo    Action Input: a painting of a dog sitting on a skateboard    Job Status: Status.STARTING eta: None    Due to heavy traffic on this app, the prediction will take approximately 73 seconds.For faster predictions without waiting in queue, you may duplicate the space using: Client.duplicate(damo-vilab/modelscope-text-to-video-synthesis)        Job Status: Status.IN_QUEUE eta: 73.89824726581574    Due to heavy traffic on this app, the prediction will take approximately 42 seconds.For faster predictions without waiting in queue, you may duplicate the space using: Client.duplicate(damo-vilab/modelscope-text-to-video-synthesis)        Job Status: Status.IN_QUEUE eta: 42.49370198879602        Job Status: Status.IN_QUEUE eta: 21.314297944849187        Observation: /var/folders/bm/ylzhm36n075cslb9fvvbgq640000gn/T/tmp5snj_nmzf20_cb3m.mp4    Thought: Do I need to use a tool? No    AI: Here is a video of a painting of a dog sitting on a skateboard.        > Finished chain.PreviousGoogle SerperNextGraphQLUsing a toolUsing within an agent