AirsoftAssistant is a Python application that searches the web for a given term, scrapes content from the top 5 unique URLs, summarizes the findings, and generates a description using OpenAI's GPT-3 API. The summarized content and generated description are saved to text files for further use.

To run the script, you need to have Python 3 installed on your system. Additionally, the following Python packages are required:

• google-api-python-client
• beautifulsoup4
• nltk
• openai
• requests

You can install these packages using pip:

pip install google-api-python-client beautifulsoup4 nltk openai requests

You need to have API keys for both OpenAI and Google APIs. To obtain the API keys, follow these guides:

• OpenAI API Key
• Google API Key and CSE ID

After obtaining the API keys, create a config.ini file in the project directory with the following format:

[openai]
api_key = your_openai_api_key
engine = gpt-3.5-turbo

[google]
api_key = your_google_api_key
cse_id = your_google_cse_id

Replace your_openai_api_key, your_google_api_key, and your_google_cse_id with the respective API keys and ID.

Run the script using Python 3:

python main.py

The script will ask you to choose between two modes:

1. Search and scrape: The script will search the web for a given term, scrape content from the top 5 unique URLs, summarize the findings, and generate a description using OpenAI's GPT-3 API.
2. Read from summary.txt: The script will only read the content from summary.txt and generate a description using OpenAI's GPT-3 API.

It is possible, that the results of web searches due to unrecognized formatting won't give meaningful output, however the links provided usually appear valid. On this occasion, copy and paste manually relevant descriptions found on the web (it should not be longer than 300-400 words) and paste into summary.txt, then run the script again choosing option 2.

The generated description, along with the URLs used (if any), will be saved in the description.txt file.

Some key parameters you might want to adjust include the number of search results to scrape (num parameter in search_web() function) and the number of sentences to include in the summary (top_n_sentences parameter in summarize_findings() function). You can adjust these parameters directly in the script.

This project is licensed under the GPL 3.0 License.

Your comments, suggestions, and contributions are welcomed! Please feel free to open an issue or submit a pull request with your improvements or ideas.