image/api load into the flow
Closed this issue · 7 comments
Feature Request
It would be great to be able to load images or other format into the playground or all via the api
Motivation
it would great in order to connect with other api such as stable diffusion
Your Contribution
No response
Langflow already supports handling image data, as it is now multi-modal and can handle images, with more formats to be supported soon [1]. Additionally, Langflow is designed to be agnostic to any model, API, or database, which means it can integrate with external APIs such as Stable Diffusion [2].
thanks any documentation, nodes available or general information beside what you shared?
For handling image data and integrating external APIs like Stable Diffusion in Langflow, here are some additional details:
Nodes for Handling Image Data
Langflow includes nodes specifically designed for handling image data. The ChatInput component includes a FileInput that supports image file types such as "jpg", "jpeg", "png", and "bmp" [[1]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json).
Example Flows and Use Cases
The documentation provides example flows that demonstrate handling image data. For instance, the "Chat Input" node includes a "files" field that supports various file types, including image formats such as "jpg", "jpeg", "png", and "bmp" [2][3].
Integrating External APIs
The documentation also provides example flows and use cases for integrating external APIs. Here are some examples:
- cURL: Sample code for posting a query to your flow.
- Python API: Code to interact with your flow using the Python HTTP requests library.
- Python Code: Code to interact with your flow's
.jsonfile using the Langflow runtime. - Chat Widget: Code to embed the Chat Widget into HTML, React, and Angular applications.
- Notion Integration: Examples of integrating with Notion to automate tasks, extract meeting contexts, and create content [4][5][6].
Example Code for Generating and Handling Image Data
The documentation includes a specific example that demonstrates generating and handling image data using the OpenAI API. The example includes a function to generate an image based on a prompt and save it in a specified format:
def build(self, prompt: str, api_key: str, model: str, file_name: str, output_format: str, width: int, height: int):
client = OpenAI(api_key=api_key)
cache_dir = Path(user_cache_dir("langflow"))
images_dir = cache_dir / "images"
images_dir.mkdir(parents=True, exist_ok=True)
image_path = images_dir / f"{file_name}.{output_format}"
response = client.images.generate(
model=model,
prompt=prompt,
size=f"{height}x{width}",
response_format="b64_json",
n=1,
)
# Decode base64-encoded image string
binary_data = base64.b64decode(response.data[0].b64_json)
# Create PIL Image object from binary image data
image_pil = Image.open(BytesIO(binary_data))
image_pil.save(image_path, format=output_format.upper())
return ""This example demonstrates how to generate an image using a prompt, decode the base64-encoded image string, and save it as a file in the specified format [2][3].
For more detailed information, you can refer to the Langflow Workspace documentation which provides comprehensive guidance on creating and managing flows, as well as integrating them with external APIs.
thats fine and there is not issue for me, back to my question is how to you display the image in the flow, playground
To display an image in the flow or playground in Langflow, you can use the ZoomableImage component. Here is the relevant code snippet:
<ZoomableImage
alt="Langflow canvas image"
sources={{
light: "img/langflow_canvas.png",
dark: "img/langflow_canvas.png",
}}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/>This code will display an image with the specified sources for light and dark themes, and it will be zoomable [1][2].
not relevant answer, I'm asking about displaying the image previously generated with an api for example
To display an image generated by an API within a Langflow node, you can use the FileInput field in the Chat Input node, which supports image file types. Here is an example of how to configure the Chat Input node to handle and display images:
from langflow.base.io.chat import ChatComponent
from langflow.io import FileInput, MultilineInput, Output
from langflow.schema.message import Message
class ChatInput(ChatComponent):
display_name = "Chat Input"
description = "Get chat inputs from the Playground."
icon = "ChatInput"
inputs = [
MultilineInput(
name="input_value",
display_name="Text",
value="",
info="Message to be passed as input.",
),
FileInput(
name="files",
display_name="Files",
file_types=["jpg", "jpeg", "png", "bmp", "image"],
info="Files to be sent with the message.",
advanced=True,
is_list=True,
),
]
outputs = [
Output(display_name="Message", name="message", method="message_response"),
]
def message_response(self) -> Message:
message = Message(
text=self.input_value,
files=self.files,
)
return messageThis configuration allows the Chat Input node to accept and display image files. When an image is generated by an API, you can pass it to this node, and it will be displayed in the flow or playground [1].
For rendering the image in the UI, you can use the ZoomableImage component as follows:
import ZoomableImage from "/src/theme/ZoomableImage.js";
<ZoomableImage
alt="Generated image"
sources={{
light: "path/to/generated_image.png",
dark: "path/to/generated_image.png"
}}
style={{ width: "80%", margin: "20px auto" }}
/>This will display the generated image with zoom functionality, enhancing the user experience [2].