Datasets:

PrathamOrgAI
/

ReadNet

import os
import pandas as pd
import requests
df=pd.read_csv("MR_Words.csv")

def download_audio_from_dataframe(df, url_column, folder_path):
    for index, row in df.iterrows():
        audio_url = row[url_column]
        if pd.notna(audio_url) and isinstance(audio_url, str):
            file_name = os.path.basename(audio_url)

        try:
            # Create the folder if it doesn't exist
            os.makedirs(folder_path, exist_ok=True)

            # Combine folder path and file name to get the full path
            full_path = os.path.join(folder_path, file_name)

            # Send a GET request to the URL
            response = requests.get(audio_url)

            # Check if the request was successful (status code 200)
            if response.status_code == 200:
                # Open a local file and write the content of the response
                with open(full_path, 'wb') as audio_file:
                    audio_file.write(response.content)
                print(f"Audio file downloaded successfully to {full_path}")
            else:
                print(f"Failed to download audio file. Status code: {response.status_code}")

        except Exception as e:
            print(f"Error: {e}")
            print(file_name)
            continue

# Example usage
# Assuming you have a DataFrame named 'df' with a column 'audio_links' containing URLs with filenames


# Specify the column name
url_column_name = 'recordingserverurl'

# Specify the download folder
download_folder = 'path_to/Marathi/words'

# Call the function to download audio files
download_audio_from_dataframe(df, url_column_name, download_folder)

	import os
	import pandas as pd
	import requests
	df=pd.read_csv("MR_Words.csv")

	def download_audio_from_dataframe(df, url_column, folder_path):
	for index, row in df.iterrows():
	audio_url = row[url_column]
	if pd.notna(audio_url) and isinstance(audio_url, str):
	file_name = os.path.basename(audio_url)

	try:
	# Create the folder if it doesn't exist
	os.makedirs(folder_path, exist_ok=True)

	# Combine folder path and file name to get the full path
	full_path = os.path.join(folder_path, file_name)

	# Send a GET request to the URL
	response = requests.get(audio_url)

	# Check if the request was successful (status code 200)
	if response.status_code == 200:
	# Open a local file and write the content of the response
	with open(full_path, 'wb') as audio_file:
	audio_file.write(response.content)
	print(f"Audio file downloaded successfully to {full_path}")
	else:
	print(f"Failed to download audio file. Status code: {response.status_code}")

	except Exception as e:
	print(f"Error: {e}")
	print(file_name)
	continue

	# Example usage
	# Assuming you have a DataFrame named 'df' with a column 'audio_links' containing URLs with filenames


	# Specify the column name
	url_column_name = 'recordingserverurl'

	# Specify the download folder
	download_folder = 'path_to/Marathi/words'

	# Call the function to download audio files
	download_audio_from_dataframe(df, url_column_name, download_folder)