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updated query methods in streamlit

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This commit is contained in:
Raju Komati 2023-04-29 15:01:16 +05:30
parent 54b4c789a7
commit afcaf7b70c
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GPG key ID: A581A5D67A8EB090
3 changed files with 54 additions and 60 deletions
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22
gpt4free/theb/__init__.py
View file

@ -1,8 +1,12 @@
from re import findall
from json import loads
from queue import Queue, Empty
from re import findall
from threading import Thread
from typing import Generator
from curl_cffi import requests
from fake_useragent import UserAgent
class Completion:
# experimental
@ -14,29 +18,29 @@ class Completion:
message_queue = Queue()
stream_completed = False
@staticmethod
def request(prompt: str):
headers = {
'authority': 'chatbot.theb.ai',
'content-type': 'application/json',
'origin': 'https://chatbot.theb.ai',
'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',
'user-agent': UserAgent().random,
}
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers,
requests.post(
'https://chatbot.theb.ai/api/chat-process',
headers=headers,
content_callback=Completion.handle_stream_response,
json = {
'prompt': prompt,
'options': {}
}
json={'prompt': prompt, 'options': {}},
)
Completion.stream_completed = True
@staticmethod
def create(prompt: str):
def create(prompt: str) -> Generator[str, None, None]:
Thread(target=Completion.request, args=[prompt]).start()
while Completion.stream_completed != True or not Completion.message_queue.empty():
while not Completion.stream_completed or not Completion.message_queue.empty():
try:
message = Completion.message_queue.get(timeout=0.01)
for message in findall(Completion.regex, message):

38
gui/query_methods.py
View file

@ -7,7 +7,6 @@ from gpt4free import quora, forefront, theb, you
import random
def query_forefront(question: str) -> str:
# create an account
token = forefront.Account.create(logging=False)
@ -15,50 +14,44 @@ def query_forefront(question: str) -> str:
response = ""
# get a response
try:
for i in forefront.StreamingCompletion.create(token = token, prompt ='hello world', model='gpt-4'):
response += i.completion.choices[0].text
return response
return forefront.Completion.create(token=token, prompt='hello world', model='gpt-4').text
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.'
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
return quora.Completion.create(model='gpt-4', prompt=question, token=token).text
def query_theb(question: str) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
response = ""
try:
result = theb.Completion.create(
prompt = question)
return result
return ''.join(theb.Completion.create(prompt=question))
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.'
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)
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.'
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 = {
@ -72,8 +65,8 @@ avail_query_methods = {
# "Ora": query_ora,
}
def query(user_input: str, selected_method: str = "Random") -> str:
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:
@ -104,4 +97,3 @@ def query(user_input: str, selected_method: str = "Random") -> str:
query_methods_list.remove(chosen_query)
return result

22
gui/streamlit_chat_app.py
View file

@ -1,6 +1,6 @@
import atexit
import os
import sys
import atexit
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
@ -9,9 +9,9 @@ from streamlit_chat import message
from query_methods import query, avail_query_methods
import pickle
conversations_file = "conversations.pkl"
def load_conversations():
try:
with open(conversations_file, "rb") as f:
@ -44,10 +44,10 @@ def exit_handler():
# Perform cleanup operations here, like saving data or closing open files.
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
# Register the exit_handler function to be called when the program is closing.
atexit.register(exit_handler)
st.header("Chat Placeholder")
if 'conversations' not in st.session_state:
@ -69,9 +69,10 @@ if 'query_method' not in st.session_state:
if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
input_placeholder = st.empty()
user_input = input_placeholder.text_input('You:', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}')
user_input = input_placeholder.text_input(
'You:', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}'
)
submit_button = st.button("Submit")
if user_input or submit_button:
@ -81,8 +82,9 @@ if user_input or submit_button:
st.session_state.current_conversation['user_inputs'].append(user_input)
st.session_state.current_conversation['generated_responses'].append(escaped_output)
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
user_input = input_placeholder.text_input('You:', value='', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}') # Clear the input field
user_input = input_placeholder.text_input(
'You:', value='', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}'
) # Clear the input field
# Add a button to create a new conversation
if st.sidebar.button("New Conversation"):
@ -90,11 +92,7 @@ if st.sidebar.button("New Conversation"):
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
st.session_state['input_field_key'] += 1
st.session_state['query_method'] = st.sidebar.selectbox(
"Select API:",
options=avail_query_methods,
index=0
)
st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=avail_query_methods, index=0)
# Sidebar
st.sidebar.header("Conversation History")