Update app.py

app.py

@@ -1,16 +1,14 @@
-# Install necessary packages
-!pip install transformers pandas google-colab
-
 import pandas as pd
 from transformers import pipeline
-from google.colab import files
+from google.colab import files  # Only needed if running in Google Colab
 
 # Function to enhance title using Hugging Face model
 def generate_title_with_huggingface(description):
     result = generator(description, max_length=100, num_return_sequences=1)
     return result[0]['generated_text']
 
-# Upload the CSV file
+# If running in Google Colab, use files.upload() to upload the CSV
+# For local environment, you can replace this with a file path directly
 uploaded = files.upload()
 
 # Assuming the file name is 'output.csv' after upload
@@ -37,5 +35,5 @@ df['Keywords'] = df['Description'].apply(generate_keywords)
 seo_output_file_path = 'seo_huggingface_filename_title_keywords.csv'
 df[['Filename', 'Title', 'Keywords']].to_csv(seo_output_file_path, index=False)
 
-# Download the resulting CSV file
+# Download the resulting CSV file (if running in Colab)
 files.download(seo_output_file_path)