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Some Gradio API endpoints do not return a single value, rather they return a series of values. You can listen for these values in real time using the iterable interface:
```js
import { Client } from "@gradio/client";
const app = await Client.connect("gradio/count_generator");
const job = app.submit(0, [9]);
for awai... | Generator Endpoints | https://gradio.app/guides/getting-started-with-the-js-client | Gradio Clients And Lite - Getting Started With The Js Client Guide |
What are agents?
A [LangChain agent](https://docs.langchain.com/docs/components/agents/agent) is a Large Language Model (LLM) that takes user input and reports an output based on using one of many tools at its disposal.
What is Gradio?
[Gradio](https://github.com/gradio-app/gradio) is the defacto standard framework ... | Some background | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
To get started with `gradio_tools`, all you need to do is import and initialize your tools and pass them to the langchain agent!
In the following example, we import the `StableDiffusionPromptGeneratorTool` to create a good prompt for stable diffusion, the
`StableDiffusionTool` to create an image with our improved prom... | gradio_tools - An end-to-end example | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
that come with `gradio_tools`. Please see this [doc](https://github.com/freddyaboulton/gradio-toolsgradio-tools-gradio--llm-agents) for a complete list of the tools that come with `gradio_tools`.
If you would like to use a tool that's not currently in `gradio_tools`, it is very easy to add your own. That's what the nex... | gradio_tools - An end-to-end example | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
The core abstraction is the `GradioTool`, which lets you define a new tool for your LLM as long as you implement a standard interface:
```python
class GradioTool(BaseTool):
def __init__(self, name: str, description: str, src: str) -> None:
@abstractmethod
def create_job(self, query: str) -> Job:
... | gradio_tools - creating your own tool | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
lf, gr)` and `_block_output(self, gr)` methods of the tool. The `gr` variable is the gradio module (the result of `import gradio as gr`). It will be
automatically imported by the `GradiTool` parent class and passed to the `_block_input` and `_block_output` methods.
And that's it!
Once you have created your tool, o... | gradio_tools - creating your own tool | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
Here is the code for the StableDiffusion tool as an example:
```python
from gradio_tool import GradioTool
import os
class StableDiffusionTool(GradioTool):
"""Tool for calling stable diffusion from llm"""
def __init__(
self,
name="StableDiffusion",
description=(
"An image g... | Example tool - Stable Diffusion | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
You now know how to extend the abilities of your LLM with the 1000s of gradio spaces running in the wild!
Again, we welcome any contributions to the [gradio_tools](https://github.com/freddyaboulton/gradio-tools) library.
We're excited to see the tools you all build!
| Conclusion | https://gradio.app/guides/gradio-and-llm-agents | Gradio Clients And Lite - Gradio And Llm Agents Guide |
Let's start with what seems like the most complex bit -- using machine learning to remove the music from a video.
Luckily for us, there's an existing Space we can use to make this process easier: [https://huggingface.co/spaces/abidlabs/music-separation](https://huggingface.co/spaces/abidlabs/music-separation). This Sp... | Step 1: Write the Video Processing Function | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
f heavy lifting when it comes to working with audio and video files. The most common way to use `ffmpeg` is through the command line, which we'll call via Python's `subprocess` module:
Our video processing workflow will consist of three steps:
1. First, we start by taking in a video filepath and extracting the audio ... | Step 1: Write the Video Processing Function | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
Next up, we'll create a simple FastAPI app. If you haven't used FastAPI before, check out [the great FastAPI docs](https://fastapi.tiangolo.com/). Otherwise, this basic template, which we add to `main.py`, will look pretty familiar:
```python
import os
from fastapi import FastAPI, File, UploadFile, Request
from fastap... | Step 2: Create a FastAPI app (Backend Routes) | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
Finally, we create the frontend of our web application. First, we create a folder called `templates` in the same directory as `main.py`. We then create a template, `home.html` inside the `templates` folder. Here is the resulting file structure:
```csv
├── main.py
├── templates
│ └── home.html
```
Write the followin... | Step 3: Create a FastAPI app (Frontend Template) | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
class="upload-btn">Choose video file</label> <input type="file"
name="video" id="video-upload"> <span class="file-name"></span> <button
type="submit" class="upload-btn">Upload</button> </form> <script> //
Display selected file name in the form const fileUpload =
document.getElementById("video-up... | Step 3: Create a FastAPI app (Frontend Template) | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
Finally, we are ready to run our FastAPI app, powered by the Gradio Python Client!
Open up a terminal and navigate to the directory containing `main.py`. Then run the following command in the terminal:
```bash
$ uvicorn main:app
```
You should see an output that looks like this:
```csv
Loaded as API: https://abidla... | Step 4: Run your FastAPI app | https://gradio.app/guides/fastapi-app-with-the-gradio-client | Gradio Clients And Lite - Fastapi App With The Gradio Client Guide |
You generally don't need to install cURL, as it comes pre-installed on many operating systems. Run:
```bash
curl --version
```
to confirm that `curl` is installed. If it is not already installed, you can install it by visiting https://curl.se/download.html.
| Installation | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
To query a Gradio app, you'll need its full URL. This is usually just the URL that the Gradio app is hosted on, for example: https://bec81a83-5b5c-471e.gradio.live
**Hugging Face Spaces**
However, if you are querying a Gradio on Hugging Face Spaces, you will need to use the URL of the embedded Gradio app, not the UR... | Step 0: Get the URL for your Gradio App | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
The first of the two `curl` requests is `POST` request that submits the input payload to the Gradio app.
The syntax of the `POST` request is as follows:
```bash
$ curl -X POST $URL/call/$API_NAME -H "Content-Type: application/json" -d '{
"data": $PAYLOAD
}'
```
Here:
* `$URL` is the URL of the Gradio app as obta... | Step 1: Make a Prediction (POST) | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
king a request to a private Space, you will need to pass in a [Hugging Face token](https://huggingface.co/settings/tokens) that has read access to the Space. The request will look like this:
```bash
$ curl -X POST https://private-space.hf.space/call/predict -H "Content-Type: application/json" -H "Authorization: Bearer... | Step 1: Make a Prediction (POST) | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
ient?"],
"session_hash": "newsequence5678"
}'
```
| Step 1: Make a Prediction (POST) | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
Once you have received the `EVENT_ID` corresponding to your prediction, you can stream the results. Gradio stores these results in a least-recently-used cache in the Gradio app. By default, the cache can store 2,000 results (across all users and endpoints of the app).
To stream the results for your prediction, make ... | Step 2: GET the result | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
```bash
event: generating
data: ["Hello, w!"]
event: generating
data: ["Hello, wo!"]
event: generating
data: ["Hello, wor!"]
event: generating
data: ["Hello, worl!"]
event: generating
data: ["Hello, world!"]
event: complete
data: ["Hello, world!"]
```
**File Example**
If your Gradio app returns a file, the file will ... | Step 2: GET the result | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
What if your Gradio application has [authentication enabled](/guides/sharing-your-appauthentication)? In that case, you'll need to make an additional `POST` request with cURL to authenticate yourself before you make any queries. Here are the complete steps:
First, login with a `POST` request supplying a valid username... | Authentication | https://gradio.app/guides/querying-gradio-apps-with-curl | Gradio Clients And Lite - Querying Gradio Apps With Curl Guide |
Use `gradio.Server` instead of `gr.Blocks` when any of the following apply:
- You want a **completely custom (potentially vibe-coded) UI** (your own HTML, React, Svelte, etc.) powered by Gradio's backend
- You want **full FastAPI control** (custom GET/POST routes, middleware, dependency injection) alongside Gradio API... | When to use `gradio.Server` | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
`gradio.Server` is included in the main Gradio package. If you want MCP support, install the extra:
```bash
pip install "gradio[mcp]"
```
| Installation | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
Here's the simplest possible Server mode app — a single API endpoint with no UI:
```python
from gradio import Server
app = Server()
@app.api(name="hello")
def hello(name: str) -> str:
return f"Hello, {name}!"
app.launch()
```
That's it. When you run this script, you get:
- A Gradio API endpoint at `/gradio_ap... | A Minimal Example | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
Since `gradio.Server` inherits from FastAPI, you can add any route directly:
```python
from gradio import Server
from fastapi.responses import HTMLResponse
app = Server()
@app.api(name="hello")
def hello(name: str) -> str:
return f"Hello, {name}!"
@app.get("/", response_class=HTMLResponse)
async def homepage():... | Custom Routes | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
To expose your API endpoints as MCP tools, add the `@app.mcp.tool()` decorator and pass `mcp_server=True` to `launch()`:
```python
from gradio import Server
app = Server()
@app.mcp.tool(name="hello")
@app.api(name="hello")
def hello(name: str) -> str:
"""Greet someone by name."""
return f"Hello, {name}!"
ap... | MCP Tools | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
This example combines everything: custom HTML served at `/`, Gradio API endpoints with concurrency limits, MCP tools, and a custom REST endpoint, and two connected via [the Gradio JavaScript client](/guides/getting-started-with-the-js-client).
$code_server_app
Run it with:
```bash
python run.py
```
Then open `http:... | A Complete Example with the JavaScript Client | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
`app.api()` supports all of the same concurrency and streaming options as `gr.api()`:
```python
@app.api(name="generate", concurrency_limit=2, stream_every=0.5)
async def generate(prompt: str):
for token in model.generate(prompt):
yield token
```
Generator functions automatically stream results via SSE, j... | Concurrency and Streaming | https://gradio.app/guides/server-mode | Gradio Clients And Lite - Server Mode Guide |
**Prerequisite**: Gradio requires [Python 3.10 or higher](https://www.python.org/downloads/).
We recommend installing Gradio using `pip`, which is included by default in Python. Run this in your terminal or command prompt:
```bash
pip install --upgrade gradio
```
Tip: It is best to install Gradio in a virtual envi... | Installation | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere else you write Python. Let's write your first Gradio app:
$code_hello_world_4
Tip: We shorten the imported name from <code>gradio</code> to <code>gr</code>. This is a widely adopted convention for better readability of code... | Building Your First Demo | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
turn one or more outputs.
The `Interface` class has three core arguments:
- `fn`: the function to wrap a user interface (UI) around
- `inputs`: the Gradio component(s) to use for the input. The number of components should match the number of arguments in your function.
- `outputs`: the Gradio component(s) to use for... | Building Your First Demo | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
What good is a beautiful demo if you can't share it? Gradio lets you easily share a machine learning demo without having to worry about the hassle of hosting on a web server. Simply set `share=True` in `launch()`, and a publicly accessible URL will be created for your demo. Let's revisit our example demo, but change t... | Sharing Your Demo | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
So far, we've been discussing the `Interface` class, which is a high-level class that lets you build demos quickly with Gradio. But what else does Gradio include?
Custom Demos with `gr.Blocks`
Gradio offers a low-level approach for designing web apps with more customizable layouts and data flows with the `gr.Blocks` ... | An Overview of Gradio | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
.app/guides/getting-started-with-the-python-client) (`gradio_client`): query any Gradio app programmatically in Python.
* [Gradio JavaScript Client](https://www.gradio.app/guides/getting-started-with-the-js-client) (`@gradio/client`): query any Gradio app programmatically in JavaScript.
* [Hugging Face Spaces](https://... | An Overview of Gradio | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
Keep learning about Gradio sequentially using the Gradio Guides, which include explanations as well as example code and embedded interactive demos. Next up: [let's dive deeper into the Interface class](https://www.gradio.app/guides/the-interface-class).
Or, if you already know the basics and are looking for something ... | What's Next? | https://gradio.app/guides/quickstart | Getting Started - Quickstart Guide |
```python
from sqlalchemy import create_engine
import pandas as pd
engine = create_engine('sqlite:///your_database.db')
with gr.Blocks() as demo:
gr.LinePlot(pd.read_sql_query("SELECT time, price from flight_info;", engine), x="time", y="price")
```
Let's see a a more interactive plot involving filters that modi... | SQLite | https://gradio.app/guides/connecting-to-a-database | Data Science And Plots - Connecting To A Database Guide |
If you're using a different database format, all you have to do is swap out the engine, e.g.
```python
engine = create_engine('postgresql://username:password@host:port/database_name')
```
```python
engine = create_engine('mysql://username:password@host:port/database_name')
```
```python
engine = create_engine('oracl... | Postgres, mySQL, and other databases | https://gradio.app/guides/connecting-to-a-database | Data Science And Plots - Connecting To A Database Guide |
Plots accept a pandas Dataframe as their value. The plot also takes `x` and `y` which represent the names of the columns that represent the x and y axes respectively. Here's a simple example:
$code_plot_guide_line
$demo_plot_guide_line
All plots have the same API, so you could swap this out with a `gr.ScatterPlot`:
... | Creating a Plot with a pd.Dataframe | https://gradio.app/guides/creating-plots | Data Science And Plots - Creating Plots Guide |
You can break out your plot into series using the `color` argument.
$code_plot_guide_series_nominal
$demo_plot_guide_series_nominal
If you wish to assign series specific colors, use the `color_map` arg, e.g. `gr.ScatterPlot(..., color_map={'white': 'FF9988', 'asian': '88EEAA', 'black': '333388'})`
The color column c... | Breaking out Series by Color | https://gradio.app/guides/creating-plots | Data Science And Plots - Creating Plots Guide |
You can aggregate values into groups using the `x_bin` and `y_aggregate` arguments. If your x-axis is numeric, providing an `x_bin` will create a histogram-style binning:
$code_plot_guide_aggregate_quantitative
$demo_plot_guide_aggregate_quantitative
If your x-axis is a string type instead, they will act as the categ... | Aggregating Values | https://gradio.app/guides/creating-plots | Data Science And Plots - Creating Plots Guide |
You can use the `.select` listener to select regions of a plot. Click and drag on the plot below to select part of the plot.
$code_plot_guide_selection
$demo_plot_guide_selection
You can combine this and the `.double_click` listener to create some zoom in/out effects by changing `x_lim` which sets the bounds of the x... | Selecting Regions | https://gradio.app/guides/creating-plots | Data Science And Plots - Creating Plots Guide |
Take a look how you can have an interactive dashboard where the plots are functions of other Components.
$code_plot_guide_interactive
$demo_plot_guide_interactive
It's that simple to filter and control the data presented in your visualization! | Making an Interactive Dashboard | https://gradio.app/guides/creating-plots | Data Science And Plots - Creating Plots Guide |
Use any of the standard Gradio form components to filter your data. You can do this via event listeners or function-as-value syntax. Let's look at the event listener approach first:
$code_plot_guide_filters_events
$demo_plot_guide_filters_events
And this would be the function-as-value approach for the same demo.
$co... | Filters | https://gradio.app/guides/filters-tables-and-stats | Data Science And Plots - Filters Tables And Stats Guide |
Add `gr.DataFrame` and `gr.Label` to your dashboard for some hard numbers.
$code_plot_guide_tables_stats
$demo_plot_guide_tables_stats
| Tables and Stats | https://gradio.app/guides/filters-tables-and-stats | Data Science And Plots - Filters Tables And Stats Guide |
Time plots need a datetime column on the x-axis. Here's a simple example with some flight data:
$code_plot_guide_temporal
$demo_plot_guide_temporal
| Creating a Plot with a pd.Dataframe | https://gradio.app/guides/time-plots | Data Science And Plots - Time Plots Guide |
You may wish to bin data by time buckets. Use `x_bin` to do so, using a string suffix with "s", "m", "h" or "d", such as "15m" or "1d".
$code_plot_guide_aggregate_temporal
$demo_plot_guide_aggregate_temporal
| Aggregating by Time | https://gradio.app/guides/time-plots | Data Science And Plots - Time Plots Guide |
You can use `gr.DateTime` to accept input datetime data. This works well with plots for defining the x-axis range for the data.
$code_plot_guide_datetime
$demo_plot_guide_datetime
Note how `gr.DateTime` can accept a full datetime string, or a shorthand using `now - [0-9]+[smhd]` format to refer to a past time.
You w... | DateTime Components | https://gradio.app/guides/time-plots | Data Science And Plots - Time Plots Guide |
In many cases, you're working with live, realtime date, not a static dataframe. In this case, you'd update the plot regularly with a `gr.Timer()`. Assuming there's a `get_data` method that gets the latest dataframe:
```python
with gr.Blocks() as demo:
timer = gr.Timer(5)
plot1 = gr.BarPlot(x="time", y="price")... | RealTime Data | https://gradio.app/guides/time-plots | Data Science And Plots - Time Plots Guide |
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