| import pytesseract | |
| import google.generativeai as genai | |
| api_key = 'AIzaSyB7-RzBwTAfVA-7ZGk2mEOQwOxshpwzhpM' # put your API key here | |
| genai.configure(api_key=api_key) | |
| geminiModel = genai.GenerativeModel(model_name='gemini-pro') | |
| def llm(img): | |
| text = pytesseract.image_to_string(img, lang='vie') | |
| # generate text | |
| prompt = "take this peace of information and give all the information in point wise better format also give some recomendation related to them' " + text | |
| # print(prompt) | |
| response = model.generate_content(prompt) | |
| return response.text |