import openai class ChatGPT: def __init__(self, model='gpt-4', dalle_model='dalle', tools=['dalle', 'browser', 'python']): self.model = model self.dalle_model = dalle_model self.tools = tools def generate_image(self, prompt, size="1024x1024", n=1): dalle = openai.dalle.text2im({ "prompt": prompt, "size": size, "n": n }) return dalle def search_and_retrieve(self, query, recency_days=0): search_results = browser.search(query, recency_days) selected_results = search_results[:10] # Selecting top 10 results for redundancy retrieved_content = browser.mclick(selected_results) return retrieved_content def execute_python_code(self, code): try: result = python.execute(code) except Exception as e: result = str(e) return result def handle_request(self, request): if 'generate_image' in request: return self.generate_image( request['prompt'], request.get('size', "1024x1024"), request.get('n', 1) ) elif 'search_and_retrieve' in request: return self.search_and_retrieve( request['query'], request.get('recency_days', 0) ) elif 'execute_python_code' in request: return self.execute_python_code( request['code'] ) else: return "Invalid request." # Usage example if __name__ == "__main__": gpt = ChatGPT() request = { 'generate_image': True, 'prompt': 'A futuristic cityscape with flying cars', 'size': '1792x1024', 'n': 1 } image_response = gpt.handle_request(request) print(image_response) search_request = { 'search_and_retrieve': True, 'query': 'latest news on AI', 'recency_days': 7 } search_response = gpt.handle_request(search_request) print(search_response) python_request = { 'execute_python_code': True, 'code': 'print("Hello, world!")' } python_response = gpt.handle_request(python_request) print(python_response)