main.py

from TempSummary import generate_temp_summary
import time

def generate_summary(llm, file):
    print("Generating temporary summary...")
    temp_summary, length_of_research_paper = generate_temp_summary(file)
    print("Temporary summary generated successfully")
    print("Generating final summary...")
    prompt = f"As a text script expert, please help me to write a short text script with the research paper \"{temp_summary}\".You have three tasks, which are:\\n    1.to summarize the text I provided into a Summary . Please answer  within 200-300 characters.\\n    2.to summarize the text I provided, using up to seven concise Highlights. Choose appropriate emoji for each Highlight.\\n    3.to summarize the text I provided, using up to seven Key Insights. Each insight should include a brief in-depth analysis. Choose appropriate emoji for each key insights. Using the following template strictly, provide the results for the three tasks:\\n    ### Summary\\n    ### Highlights -[emoji]\\n    ### key Insights -[emoji] .\\n  Importantly your output must use language \"English\"\""
    response = llm.create_chat_completion(
        messages = [
            {'role':'system',
            'content': 'You are a helpful research assistant for generating well-formatted summaries from scientific research papers.'},
            {'role':'user',
            'content': prompt}
        ],
        temperature=0.5,
        top_k=200,
        top_p=3.0,
    )
    summary = response['choices'][0]['message']['content']
    return summary, length_of_research_paper

def summarize(llm, file):
    import time
    start_time = time.time()
    response, length_of_research_paper = generate_summary(llm, file)
    if "**" in response:
        response = response.replace("- **", "### ")
        response = response.replace("**", "")
        response = response.replace("\n\n", "\n")
        response = response.replace("\\n\\n", "\\n")
    summary = ""
    for line in response.splitlines():
        if line.startswith("###"):
            summary += "\n\n" + line
        else:
            summary += "\n" + line
    end_time = time.time()
    total_time_taken = end_time - start_time
    total_time_taken_minutes = round(total_time_taken / 60, 3)
    info = f"The research paper of {length_of_research_paper} characters long was summarized in {total_time_taken_minutes} minutes."
    print(info)
    return summary.strip(), info