Factool / app.py
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import gradio as gr
import openai
import json
from factool import Factool
import os
def chat_with_gpt(api_key, model, message):
openai.api_key = api_key
response = openai.ChatCompletion.create(
model=model,
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": message},
]
)
return response.choices[0].message['content']
def fact_check(openai_api_key, serper_api_key, scraper_api_key, model, message, response, category):
os.environ['SCRAPER_API_KEY'] = ''
os.environ['SERPER_API_KEY'] = ''
os.environ['OPENAI_API_KEY'] = ''
os.environ['SCRAPER_API_KEY'] = scraper_api_key
os.environ['SERPER_API_KEY'] = serper_api_key
os.environ['OPENAI_API_KEY'] = openai_api_key
factool_instance = Factool(model)
inputs = [
{
"prompt": message,
"response": response,
"category": category,
"search_type": "online",
},
]
response_list = factool_instance.run(inputs)
os.environ['SCRAPER_API_KEY'] = ''
os.environ['SERPER_API_KEY'] = ''
os.environ['OPENAI_API_KEY'] = ''
return response_list
with gr.Blocks() as demo:
openai_api_key = gr.Textbox(label="OpenAI API Key")
serper_api_key = gr.Textbox(label="Serper API Key")
scraper_api_key = gr.Textbox(label="Scraper API Key")
chat_model = gr.inputs.Radio(choices=["gpt-3.5-turbo", "gpt-4"], label="Chat Model")
prompt = gr.Textbox(label="Prompt")
response = gr.Textbox(label="Response")
category = gr.inputs.Radio(choices=["kbqa", "code", "math", "scientific"], label="Category")
fact_check_model = gr.inputs.Radio(choices=["gpt-3.5-turbo", "gpt-4"], label="Fact Check Model")
fact_check_result = gr.Textbox(label="Fact Check Result")
chat_btn = gr.Button("Chat")
fact_check_btn = gr.Button("Fact Check")
chat_btn.click(chat_with_gpt, inputs=[openai_api_key,chat_model,prompt], outputs=response)
fact_check_btn.click(fact_check, inputs=[openai_api_key,serper_api_key,scraper_api_key,fact_check_model,prompt,response,category], outputs=fact_check_result)
demo.launch(share=True)