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) 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)