diff options
Diffstat (limited to 'gui/query_methods.py')
| -rw-r--r-- | gui/query_methods.py | 163 |
1 files changed, 163 insertions, 0 deletions
diff --git a/gui/query_methods.py b/gui/query_methods.py new file mode 100644 index 00000000..d7e269ce --- /dev/null +++ b/gui/query_methods.py @@ -0,0 +1,163 @@ +import forefront, quora, theb, you +import random + + + +def query_forefront(question: str) -> str: + # create an account + token = forefront.Account.create(logging=True) + + # get a response + try: + result = forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4') + + return result['response'] + + except Exception as e: + # Return error message if an exception occurs + return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.' + + +def query_quora(question: str) -> str: + token = quora.Account.create(logging=False, enable_bot_creation=True) + response = quora.Completion.create( + model='gpt-4', + prompt=question, + token=token + ) + + return response.completion.choices[0].tex + + +def query_theb(question: str) -> str: + # Set cloudflare clearance cookie and get answer from GPT-4 model + try: + result = theb.Completion.create( + prompt = question) + + return result['response'] + + except Exception as e: + # Return error message if an exception occurs + return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.' + + +def query_you(question: str) -> str: + # Set cloudflare clearance cookie and get answer from GPT-4 model + try: + result = you.Completion.create( + prompt = question) + + return result['response'] + + except Exception as e: + # Return error message if an exception occurs + return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.' + +# Define a dictionary containing all query methods +avail_query_methods = { + "Forefront": query_forefront, + "Quora": query_quora, + "Theb": query_theb, + "You": query_you, + # "Writesonic": query_writesonic, + # "T3nsor": query_t3nsor, + # "Phind": query_phind, + # "Ora": query_ora, +} + +def query(user_input: str, selected_method: str = "Random") -> str: + + # If a specific query method is selected (not "Random") and the method is in the dictionary, try to call it + if selected_method != "Random" and selected_method in avail_query_methods: + try: + return avail_query_methods[selected_method](user_input) + except Exception as e: + print(f"Error with {selected_method}: {e}") + return "😵 Sorry, some error occurred please try again." + + # Initialize variables for determining success and storing the result + success = False + result = "😵 Sorry, some error occurred please try again." + # Create a list of available query methods + query_methods_list = list(avail_query_methods.values()) + + # Continue trying different methods until a successful result is obtained or all methods have been tried + while not success and query_methods_list: + # Choose a random method from the list + chosen_query = random.choice(query_methods_list) + # Find the name of the chosen method + chosen_query_name = [k for k, v in avail_query_methods.items() if v == chosen_query][0] + try: + # Try to call the chosen method with the user input + result = chosen_query(user_input) + success = True + except Exception as e: + print(f"Error with {chosen_query_name}: {e}") + # Remove the failed method from the list of available methods + query_methods_list.remove(chosen_query) + + return result + + +__all__ = ['query', 'avail_query_methods'] + + + +# def query_ora(question:str)->str: +# result ="" +# try: +# gpt4_chatbot_ids = ['b8b12eaa-5d47-44d3-92a6-4d706f2bcacf', 'fbe53266-673c-4b70-9d2d-d247785ccd91', 'bd5781cf-727a-45e9-80fd-a3cfce1350c6', '993a0102-d397-47f6-98c3-2587f2c9ec3a', 'ae5c524e-d025-478b-ad46-8843a5745261', 'cc510743-e4ab-485e-9191-76960ecb6040', 'a5cd2481-8e24-4938-aa25-8e26d6233390', '6bca5930-2aa1-4bf4-96a7-bea4d32dcdac', '884a5f2b-47a2-47a5-9e0f-851bbe76b57c', 'd5f3c491-0e74-4ef7-bdca-b7d27c59e6b3', 'd72e83f6-ef4e-4702-844f-cf4bd432eef7', '6e80b170-11ed-4f1a-b992-fd04d7a9e78c', '8ef52d68-1b01-466f-bfbf-f25c13ff4a72', 'd0674e11-f22e-406b-98bc-c1ba8564f749', 'a051381d-6530-463f-be68-020afddf6a8f', '99c0afa1-9e32-4566-8909-f4ef9ac06226', '1be65282-9c59-4a96-99f8-d225059d9001', 'dba16bd8-5785-4248-a8e9-b5d1ecbfdd60', '1731450d-3226-42d0-b41c-4129fe009524', '8e74635d-000e-4819-ab2c-4e986b7a0f48', 'afe7ed01-c1ac-4129-9c71-2ca7f3800b30', 'e374c37a-8c44-4f0e-9e9f-1ad4609f24f5'] +# chatbot_id = random.choice(gpt4_chatbot_ids) +# model = ora.CompletionModel.load(chatbot_id, 'gpt-4') +# response = ora.Completion.create(model, question) +# result = response.completion.choices[0].text +# except Exception as e: +# print(f"Error : {e}") +# result = "😵 Sorry, some error occurred please try again." +# return result + + +# def query_writesonic(question:str)->str: +# account = writesonic.Account.create(logging = False) +# response = writesonic.Completion.create( +# api_key = account.key, +# prompt = question, +# ) + +# return response.completion.choices[0].text + + +# def query_t3nsor(question: str) -> str: +# messages = [] + +# user = question + +# t3nsor_cmpl = t3nsor.Completion.create( +# prompt=user, +# messages=messages +# ) + +# messages.extend([ +# {'role': 'user', 'content': user}, +# {'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text} +# ]) + +# return t3nsor_cmpl.completion.choices[0].text + + + +# def query_phind(question:str)->str: +# phind.cf_clearance = 'KvXc1rh.TFQG1rNF0eMlcpJbsdmJkYgvmqS42OOfqUk-1682393898-0-160' +# # phind.cf_clearance = 'heguhSRBB9d0sjLvGbQECS8b80m2BQ31xEmk9ChshKI-1682268995-0-160' +# # phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36' +# phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4.1 Safari/605.1.15' +# result = phind.Completion.create( +# model = 'gpt-4', +# prompt = question, +# results = phind.Search.create(question, actualSearch = False), +# creative = False, +# detailed = False, +# codeContext = '') +# # print(result.completion.choices[0].text) +# return result.completion.choices[0].text |