Potential Bug with Multiple files in the Generated API code

[flefevre]

When creating a flow with different input files (two normal files) it seems that the API code generated is not well formated as there si only one file uploader?

OK-Document Q&A-LiteLLM-MistralSmall (1).json

`import argparse
import json
from argparse import RawTextHelpFormatter
import requests
from typing import Optional
import warnings
try:
from langflow.load import upload_file
except ImportError:
warnings.warn("Langflow provides a function to help you upload files to the flow. Please install langflow to use it.")
upload_file = None

BASE_API_URL = "https://langflow-dev.mylaboratory.com"
FLOW_ID = "ce78251f-fbee-47c7-bf6e-ced6d12a7228"
ENDPOINT = "doc2com" # The endpoint name of the flow

You can tweak the flow by adding a tweaks dictionary

e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}

TWEAKS = {
"ParseData-BgTA3": {},
"TextOutput-T0rBI": {},
"CustomComponent-7dDkW": {},
"CustomComponent-D83L7": {},
"TextOutput-akHaI": {},
"TextOutput-H2BGi": {},
"CustomComponent-MhDFj": {},
"ChatInput-lbGcg": {},
"ChatOutput-TP6Kq": {},
"ChatOutput-EKLk6": {},
"ChatOutput-YDKLA": {}
}

def run_flow(message: str,
endpoint: str,
output_type: str = "chat",
input_type: str = "chat",
tweaks: Optional[dict] = None,
api_key: Optional[str] = None) -> dict:
"""
Run a flow with a given message and optional tweaks.

:param message: The message to send to the flow
:param endpoint: The ID or the endpoint name of the flow
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/api/v1/run/{endpoint}"

payload = {
    "input_value": message,
    "output_type": output_type,
    "input_type": input_type,
}
headers = None
if tweaks:
    payload["tweaks"] = tweaks
if api_key:
    headers = {"x-api-key": api_key}
response = requests.post(api_url, json=payload, headers=headers)
return response.json()

def main():
parser = argparse.ArgumentParser(description="""Run a flow with a given message and optional tweaks.
Run it like: python .py "your message here" --endpoint "your_endpoint" --tweaks '{"key": "value"}'""",
formatter_class=RawTextHelpFormatter)
parser.add_argument("message", type=str, help="The message to send to the flow")
parser.add_argument("--endpoint", type=str, default=ENDPOINT or FLOW_ID, help="The ID or the endpoint name of the flow")
parser.add_argument("--tweaks", type=str, help="JSON string representing the tweaks to customize the flow", default=json.dumps(TWEAKS))
parser.add_argument("--api_key", type=str, help="API key for authentication", default=None)
parser.add_argument("--output_type", type=str, default="chat", help="The output type")
parser.add_argument("--input_type", type=str, default="chat", help="The input type")
parser.add_argument("--upload_file", type=str, help="Path to the file to upload", default=None)
parser.add_argument("--components", type=str, help="Components to upload the file to", default=None)

args = parser.parse_args()
try:
  tweaks = json.loads(args.tweaks)
except json.JSONDecodeError:
  raise ValueError("Invalid tweaks JSON string")

if args.upload_file:
    if not upload_file:
        raise ImportError("Langflow is not installed. Please install it to use the upload_file function.")
    elif not args.components:
        raise ValueError("You need to provide the components to upload the file to.")
    tweaks = upload_file(file_path=args.upload_file, host=BASE_API_URL, flow_id=args.endpoint, components=[args.components], tweaks=tweaks)

response = run_flow(
    message=args.message,
    endpoint=args.endpoint,
    output_type=args.output_type,
    input_type=args.input_type,
    tweaks=tweaks,
    api_key=args.api_key
)

print(json.dumps(response, indent=2))

if name == "main":
main()
`

I wanted to be able to design a small Gradio interface to interact with this workflow. But I am not able to understand how to set multiple files .

Thanks for your advice.

François

[flefevre]

At first: sorry I misunterstood how Langflow is working.

Here some elements to healp other.

TWEAKS
A screenshot where you can activate the TWEAKS and have access to the data structure.

Proof Of Concept with Gradio
Here a small github project with minimal code where you can see on how to integrate gradio and langflow
https://github.com/flefevre/poc-langflowgradio.git

Hope it could help others

NB: if i have time i will remove the traefik service and add the ollama service.