app.py

import gradio as gr
import pandas as pd
import numpy as np
import json
from io import StringIO

def test(input_json):
    print("Received input")
    # Parse the input JSON string
    try:
        inputs = json.loads(input_json)
    except json.JSONDecodeError:
        inputs = json.loads(input_json.replace("'", '"'))

    # Accessing the 'a_list' string and converting it to a list of integers
    a_list = inputs['input']['a_list']



    # Extract the datatree part which is a list of dictionaries
    datatree = inputs["datatree"]
    
    # Rebuild a Python dictionary from the datatree
    # Initialize an empty dictionary
    python_dict = {}
    
    # Iterate through each item in the datatree list
    for branch_dict in datatree:
        # Each branch_dict is a dictionary with one key-value pair
        for key, value in branch_dict.items():
            # Assign the key and value to the new dictionary
            python_dict[key] = value
        

    #a_list = [int(item.strip()) for item in a_list_string.split(',')]
        
        
    #print("Parsed input keys:", inputs.keys())

    #print("Parsed input values:", inputs.values())
    #sum_list = sum(float(item) for item in inputs["a_list"])
    #multiplication = [-float((inputs["alpha"])) * float(item) for item in inputs["a_list"]]
    #new_df = pd.DataFrame(index=inputs["dataframe"].index, columns=inputs["dataframe"].columns)
    #multiplier_series = pd.Series(float(inputs["a_list"]), index=inputs["dataframe"].index)
    #new_df["new column"] = float(inputs["dataframe"]).mul(multiplier_series, axis=0)
    

    # Prepare the output
    output = {
        "list": a_list,
        "matrix": python_dict,
    }

    return json.dumps(output)

    # Define the Gradio interface with a single JSON input
iface = gr.Interface(
    fn=test,
    inputs=gr.Textbox(label="Input JSON", lines=20, placeholder="Enter JSON with all parameters here..."),
    outputs=gr.JSON(label="Output JSON"),
    title="testspace"
)

iface.launch()