data_download script

data_download_script.py

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+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)
+