import boto3 import json import os import csv # Initialize the Bedrock client client = boto3.client('bedrock-runtime', region_name="us-east-1") # Function to summarize text using AWS Bedrock def summarize_text(text, model_id='anthropic.claude-v2'): # Prepare the payload for the model payload = { "prompt": f"\n\nHuman: tolong buat summary dari dokumen ini {text}\n\nAssistant:", "max_tokens_to_sample": 500, # Limit the size of the output "temperature": 0.5 # Adjust randomness (between 0 and 1) } # Invoke the model using AWS Bedrock response = client.invoke_model( modelId=model_id, contentType="application/json", accept="application/json", body=json.dumps(payload) ) # Get the response from the model result = json.loads(response['body'].read()) # Extract and return the summarized text summary = result.get('completion', "No summary available") return summary # Function to read text from a file def read_text_from_file(file_path): with open(file_path, 'r') as file: return file.read() myfile = 'myfile.txt' # or if your file is in folder, you can specify the folder as well 'folder/myfile.txt' mytext = read_text_from_file(myfile) summary = summarize_text(mytext) print(summary)