# PyBingScrapper
Python wrapper for Bing Search results.
## Implementation
```
pip install PyBingScrapper
```
Below is a simple example for running the library
```python
from PyBingScrapper.search import BingSearch
bing = BingSearch("Narendra Modi")
#num - num of results to return
#max_lines - maximum number of lines/sentences to return in each result
bing_results = bing.get_results(num=4, max_lines=15)
# bing_results[i]['content'] - scrapped content
# nlines - num of iterations
# hfkey - hugging face secret key
print(bing.rag_output("Tell me about Mr. Narendra Modi?", bing_results, hfkey, n_iters=15)) #n_iters-optional
```
To only scrape results from the web use the below code snippet
```python
bing = BingSearch("Narendra Modi")
bing_results = bing.get_results(num=4, max_lines=15)
# the above code provides the top 4 results from bing search with 15 sentences from each result as content
```
To implement RAG algorithm over the query use the below. RAG - RAG is a framework/algorithm to improve LLM-generated responses by leveraging external information such as Wikipedia information etc for the queried prompt.
```python
print(bing.rag_output(bing_results, hfkey, n_iters=15))
```
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