bluesix / autogpt /summary.py
soulwax
Push stable to huggingface
923696f
from autogpt.llm_utils import create_chat_completion
def summarize_text(driver, text, question):
if not text:
return "Error: No text to summarize"
text_length = len(text)
print(f"Text length: {text_length} characters")
summaries = []
chunks = list(split_text(text))
scroll_ratio = 1 / len(chunks)
for i, chunk in enumerate(chunks):
scroll_to_percentage(driver, scroll_ratio * i)
print(f"Summarizing chunk {i + 1} / {len(chunks)}")
messages = [create_message(chunk, question)]
summary = create_chat_completion(
model="gpt-3.5-turbo",
messages=messages,
max_tokens=300,
)
summaries.append(summary)
print(f"Summarized {len(chunks)} chunks.")
combined_summary = "\n".join(summaries)
messages = [create_message(combined_summary, question)]
return create_chat_completion(
model="gpt-3.5-turbo",
messages=messages,
max_tokens=300,
)
def split_text(text, max_length=8192):
paragraphs = text.split("\n")
current_length = 0
current_chunk = []
for paragraph in paragraphs:
if current_length + len(paragraph) + 1 <= max_length:
current_chunk.append(paragraph)
current_length += len(paragraph) + 1
else:
yield "\n".join(current_chunk)
current_chunk = [paragraph]
current_length = len(paragraph) + 1
if current_chunk:
yield "\n".join(current_chunk)
def create_message(chunk, question):
return {
"role": "user",
"content": f'"""{chunk}""" Using the above text, please answer the following'
f' question: "{question}" -- if the question cannot be answered using the text,'
" please summarize the text.",
}
def scroll_to_percentage(driver, ratio):
if ratio < 0 or ratio > 1:
raise ValueError("Percentage should be between 0 and 1")
driver.execute_script(f"window.scrollTo(0, document.body.scrollHeight * {ratio});")