Semantic Scholar MCP Server
by YUZongmin
- test
[
{
label: "Input Text",
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Howdy!",
serializer: "StringSerializable",
description: undefined,
},
{
label: "Acoustic Prompt",
type: "",
python_type: {
type: "Any",
description: "any valid value",
},
component: "Dropdown",
example_input: null,
serializer: "SimpleSerializable",
description: "any valid value",
},
]
[
{
label: "Input Text",
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Howdy!",
serializer: "StringSerializable",
description: undefined,
},
{
label: "Acoustic Prompt",
type: "",
python_type: {
type: "Any",
description: "any valid value",
},
component: "Dropdown",
example_input: null,
serializer: "SimpleSerializable",
description: "any valid value",
},
]
{
parameters: [
{
label: "Upload Image",
parameter_name: "img",
parameter_has_default: false,
parameter_default: null,
type: "Blob | File | Buffer",
python_type: {
type: "Dict(path: str | None (Path to a local file), url: str | None (Publicly available url or base64 encoded image), size: int | None (Size of image in bytes), orig_name: str | None (Original filename), mime_type: str | None (mime type of image), is_stream: bool (Can always be set to False), meta: Dict())",
description: "For input, either path or url must be provided. For output, path is always provided.",
},
component: "Image",
example_input: {
path: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
meta: {
_type: "gradio.FileData",
},
orig_name: "bus.png",
url: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
},
description: undefined,
},
{
label: "Object to Extract",
parameter_name: "prompt",
parameter_has_default: false,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Background Prompt (optional)",
parameter_name: "bg_prompt",
parameter_has_default: true,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Aspect Ratio",
parameter_name: "aspect_ratio",
parameter_has_default: true,
parameter_default: "1:1",
type: "string",
python_type: {
type: "Literal['1:1', '16:9', '9:16', '4:3']",
description: "",
},
component: "Dropdown",
example_input: "1:1",
description: undefined,
},
{
component: "state",
example: null,
parameter_default: null,
parameter_has_default: true,
parameter_name: null,
hidden: true,
description: undefined,
type: "",
},
{
label: "Object Size (%)",
parameter_name: "scale_percent",
parameter_has_default: true,
parameter_default: 50,
type: "number",
python_type: {
type: "float",
description: "",
},
component: "Slider",
example_input: 10,
description: "numeric value between 10 and 200",
},
],
returns: [
{
label: "Combined Result",
type: "string",
python_type: {
type: "Dict(path: str | None (Path to a local file), url: str | None (Publicly available url or base64 encoded image), size: int | None (Size of image in bytes), orig_name: str | None (Original filename), mime_type: str | None (mime type of image), is_stream: bool (Can always be set to False), meta: Dict())",
description: "",
},
component: "Image",
description: undefined,
},
{
label: "Extracted Object",
type: "string",
python_type: {
type: "Dict(path: str | None (Path to a local file), url: str | None (Publicly available url or base64 encoded image), size: int | None (Size of image in bytes), orig_name: str | None (Original filename), mime_type: str | None (mime type of image), is_stream: bool (Can always be set to False), meta: Dict())",
description: "",
},
component: "Image",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
}
[
{
label: "Input Screenshot",
parameter_name: "image",
parameter_has_default: false,
parameter_default: null,
type: "Blob | File | Buffer",
python_type: {
type: "Dict(path: str | None (Path to a local file), url: str | None (Publicly available url or base64 encoded image), size: int | None (Size of image in bytes), orig_name: str | None (Original filename), mime_type: str | None (mime type of image), is_stream: bool (Can always be set to False), meta: Dict())",
description: "For input, either path or url must be provided. For output, path is always provided.",
},
component: "Image",
example_input: {
path: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
meta: {
_type: "gradio.FileData",
},
orig_name: "bus.png",
url: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
},
description: undefined,
},
{
label: "Query",
parameter_name: "query",
parameter_has_default: false,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Refinement Steps",
parameter_name: "iterations",
parameter_has_default: true,
parameter_default: 1,
type: "number",
python_type: {
type: "float",
description: "",
},
component: "Slider",
example_input: 1,
description: "numeric value between 1 and 3",
},
{
label: "Is Example Image",
parameter_name: "is_example_image",
parameter_has_default: true,
parameter_default: "False",
type: "string",
python_type: {
type: "Literal['True', 'False']",
description: "",
},
component: "Dropdown",
example_input: "True",
description: undefined,
},
]
[
{
label: "Input",
parameter_name: "query",
parameter_has_default: false,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Qwen2.5-72B-Instruct",
parameter_name: "history",
parameter_has_default: true,
parameter_default: [
],
type: "",
python_type: {
type: "Tuple[str | Dict(file: filepath, alt_text: str | None) | Dict(component: str, value: Any, constructor_args: Dict(), props: Dict()) | None, str | Dict(file: filepath, alt_text: str | None) | Dict(component: str, value: Any, constructor_args: Dict(), props: Dict()) | None]",
description: "",
},
component: "Chatbot",
example_input: [
[
"Hello!",
null,
],
],
description: undefined,
},
{
label: "parameter_8",
parameter_name: "system",
parameter_has_default: true,
parameter_default: "You are Qwen, created by Alibaba Cloud. You are a helpful assistant.",
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
]
[
{
label: "Prompt",
parameter_name: "prompt",
parameter_has_default: false,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Seed",
parameter_name: "seed",
parameter_has_default: true,
parameter_default: 0,
type: "number",
python_type: {
type: "float",
description: "numeric value between 0 and 2147483647",
},
component: "Slider",
example_input: 0,
description: "numeric value between 0 and 2147483647",
},
{
label: "Randomize seed",
parameter_name: "randomize_seed",
parameter_has_default: true,
parameter_default: true,
type: "boolean",
python_type: {
type: "bool",
description: "",
},
component: "Checkbox",
example_input: true,
description: undefined,
},
{
label: "Width",
parameter_name: "width",
parameter_has_default: true,
parameter_default: 1024,
type: "number",
python_type: {
type: "float",
description: "numeric value between 256 and 2048",
},
component: "Slider",
example_input: 256,
description: "numeric value between 256 and 2048",
},
{
label: "Height",
parameter_name: "height",
parameter_has_default: true,
parameter_default: 1024,
type: "number",
python_type: {
type: "float",
description: "numeric value between 256 and 2048",
},
component: "Slider",
example_input: 256,
description: "numeric value between 256 and 2048",
},
{
label: "Number of inference steps",
parameter_name: "num_inference_steps",
parameter_has_default: true,
parameter_default: 4,
type: "number",
python_type: {
type: "float",
description: "numeric value between 1 and 50",
},
component: "Slider",
example_input: 1,
description: "numeric value between 1 and 50",
},
]
TRELLIS:
{
"/preprocess_image": {
parameters: [
{
label: "Image Prompt",
parameter_name: "image",
parameter_has_default: false,
parameter_default: null,
type: "Blob | File | Buffer",
python_type: {
type: "filepath",
description: "",
},
component: "Image",
example_input: {
path: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
meta: {
_type: "gradio.FileData",
},
orig_name: "bus.png",
url: "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
},
description: undefined,
},
],
returns: [
{
label: "value_29",
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
description: undefined,
},
{
label: "Image Prompt",
type: "string",
python_type: {
type: "filepath",
description: "",
},
component: "Image",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
"/lambda": {
parameters: [
],
returns: [
{
label: "value_29",
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
"/image_to_3d": {
parameters: [
{
label: "parameter_29",
parameter_name: "trial_id",
parameter_has_default: false,
parameter_default: null,
type: "string",
python_type: {
type: "str",
description: "",
},
component: "Textbox",
example_input: "Hello!!",
description: undefined,
},
{
label: "Seed",
parameter_name: "seed",
parameter_has_default: true,
parameter_default: 0,
type: "number",
python_type: {
type: "float",
description: "numeric value between 0 and 2147483647",
},
component: "Slider",
example_input: 0,
description: "numeric value between 0 and 2147483647",
},
{
label: "Randomize Seed",
parameter_name: "randomize_seed",
parameter_has_default: true,
parameter_default: true,
type: "boolean",
python_type: {
type: "bool",
description: "",
},
component: "Checkbox",
example_input: true,
description: undefined,
},
{
label: "Guidance Strength",
parameter_name: "ss_guidance_strength",
parameter_has_default: true,
parameter_default: 7.5,
type: "number",
python_type: {
type: "float",
description: "numeric value between 0.0 and 10.0",
},
component: "Slider",
example_input: 0,
description: "numeric value between 0.0 and 10.0",
},
{
label: "Sampling Steps",
parameter_name: "ss_sampling_steps",
parameter_has_default: true,
parameter_default: 12,
type: "number",
python_type: {
type: "float",
description: "numeric value between 1 and 50",
},
component: "Slider",
example_input: 1,
description: "numeric value between 1 and 50",
},
{
label: "Guidance Strength",
parameter_name: "slat_guidance_strength",
parameter_has_default: true,
parameter_default: 3,
type: "number",
python_type: {
type: "float",
description: "numeric value between 0.0 and 10.0",
},
component: "Slider",
example_input: 0,
description: "numeric value between 0.0 and 10.0",
},
{
label: "Sampling Steps",
parameter_name: "slat_sampling_steps",
parameter_has_default: true,
parameter_default: 12,
type: "number",
python_type: {
type: "float",
description: "numeric value between 1 and 50",
},
component: "Slider",
example_input: 1,
description: "numeric value between 1 and 50",
},
],
returns: [
{
label: "Generated 3D Asset",
type: "",
python_type: {
type: "Dict(video: filepath, subtitles: filepath | None)",
description: "",
},
component: "Video",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
"/activate_button": {
parameters: [
],
returns: [
],
type: {
generator: false,
cancel: false,
},
},
"/deactivate_button": {
parameters: [
],
returns: [
],
type: {
generator: false,
cancel: false,
},
},
"/extract_glb": {
parameters: [
{
component: "state",
example: null,
parameter_default: null,
parameter_has_default: true,
parameter_name: null,
hidden: true,
description: undefined,
type: "",
},
{
label: "Simplify",
parameter_name: "mesh_simplify",
parameter_has_default: true,
parameter_default: 0.95,
type: "number",
python_type: {
type: "float",
description: "numeric value between 0.9 and 0.98",
},
component: "Slider",
example_input: 0.9,
description: "numeric value between 0.9 and 0.98",
},
{
label: "Texture Size",
parameter_name: "texture_size",
parameter_has_default: true,
parameter_default: 1024,
type: "number",
python_type: {
type: "float",
description: "numeric value between 512 and 2048",
},
component: "Slider",
example_input: 512,
description: "numeric value between 512 and 2048",
},
],
returns: [
{
label: "Extracted GLB",
type: "",
python_type: {
type: "filepath",
description: "",
},
component: "Litmodel3d",
description: undefined,
},
{
label: "Download GLB",
type: "",
python_type: {
type: "filepath",
description: "",
},
component: "Downloadbutton",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
"/activate_button_1": {
parameters: [
],
returns: [
{
label: "Download GLB",
type: "",
python_type: {
type: "filepath",
description: "",
},
component: "Downloadbutton",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
"/deactivate_button_1": {
parameters: [
],
returns: [
{
label: "Download GLB",
type: "",
python_type: {
type: "filepath",
description: "",
},
component: "Downloadbutton",
description: undefined,
},
],
type: {
generator: false,
cancel: false,
},
},
}