data_download script
Browse files- Hin_ST_PR.csv +0 -0
- Letters_Hindi.csv +0 -0
- MR_Letters.csv +0 -0
- MR_ST_Para.csv +0 -0
- MR_Words.csv +0 -0
- Words_Hindi.csv +0 -0
- data_download_script.py +48 -0
Hin_ST_PR.csv
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Letters_Hindi.csv
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MR_Letters.csv
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MR_ST_Para.csv
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MR_Words.csv
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Words_Hindi.csv
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data_download_script.py
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import os
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import pandas as pd
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import requests
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df=pd.read_csv("MR_Words.csv")
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def download_audio_from_dataframe(df, url_column, folder_path):
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for index, row in df.iterrows():
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audio_url = row[url_column]
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if pd.notna(audio_url) and isinstance(audio_url, str):
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file_name = os.path.basename(audio_url)
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try:
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# Create the folder if it doesn't exist
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os.makedirs(folder_path, exist_ok=True)
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# Combine folder path and file name to get the full path
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full_path = os.path.join(folder_path, file_name)
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# Send a GET request to the URL
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response = requests.get(audio_url)
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# Check if the request was successful (status code 200)
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if response.status_code == 200:
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# Open a local file and write the content of the response
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with open(full_path, 'wb') as audio_file:
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audio_file.write(response.content)
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print(f"Audio file downloaded successfully to {full_path}")
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else:
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print(f"Failed to download audio file. Status code: {response.status_code}")
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except Exception as e:
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print(f"Error: {e}")
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print(file_name)
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continue
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# Example usage
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# Assuming you have a DataFrame named 'df' with a column 'audio_links' containing URLs with filenames
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# Specify the column name
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url_column_name = 'recordingserverurl'
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# Specify the download folder
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download_folder = 'path_to/Marathi/words'
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# Call the function to download audio files
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download_audio_from_dataframe(df, url_column_name, download_folder)
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