Without all the details and especially without the output included in the question, it's hard to say for sure that you've done things exactly correctly.

However I think you're certainly close! 

This Python script uses the [Skyfield]() package and the DE421 [Development Ephemeris](https://en.wikipedia.org/wiki/Jet_Propulsion_Laboratory_Development_Ephemeris) While JPL's Horizons doesn't use *exactly* this same ephemeris, results will be very very close.

On May 1st 2023, with Bangalore at 12.979N, 77.592E I get  a distance to the Sun of 1.007313284 AU or 150691922.3 km. You will get slightly different numbers if you used a slightly different lat/long, or if you didn't include the light-time correction that the .observe() method uses here.

[![distance from Bangalore to the Sun in May 2023 using Skyfield](https://i.sstatic.net/Ypfcl.png)](https://i.sstatic.net/Ypfcl.png)

    from skyfield.api import Loader, Topos
    import numpy as np
    import matplotlib.pyplot as plt

    load = Loader('~/Documents/fishing/SkyData') # avoid multiple copies of large files
    ts = load.timescale()
    eph = load('de421.bsp')

    earth, sun, moon = [eph[x] for x in ('earth', 'sun', 'moon')]

    latlon = 12.979, 77.592
    bangalore = Topos(latitude_degrees = latlon[0],
                      longitude_degrees = latlon[1])

    days = np.arange(1, 31)

    times = ts.utc(2023, 5, days, 0, 0, 0) # 2023-05-01 00:00-2023-05-30 00:00

    sun_astrometric = (earth + bangalore).at(times).observe(sun)

    both = sun_astrometric.distance().au, sun_astrometric.distance().km

    i_annotate = [0, 4, 9, 14, 19, 24, 29]

    annots = [[str(val) for val in thing[i_annotate].round(n)]
              for (thing, n) in zip(both, (9, 1))]

    annots = np.array(annots)

    fig, axes = plt.subplots(2, 1)

    goodies = axes, both, ('AU', 'km'), annots

    for ax, distance, label, anns in zip(*goodies):
        ax.plot(days, distance)
        for ann, day, dist in zip(anns, days[i_annotate], distance[i_annotate]):
            ax.annotate(ann, (day, dist))
            ax.plot(day, dist, 'ok')
        ax.set_ylabel(label, fontsize=12)

    axes[1].set_xlabel('days in May 2023', fontsize=12)

    suptitle = ('distance from Bangalore (' + str(latlon) +
                ' to the Sun May 2023 (00:00)')

    plt.suptitle(suptitle)

    fig.subplots_adjust(left=0.13, right=0.86)
                 
    plt.show()