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import gradio as gr
import os
import json
import requests
# from dotenv import load_dotenv
# load_dotenv()
API_URL = "https://api.openai.com/v1/chat/completions"
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
hf_token = os.getenv("hf_token")
def get_system_txt():
headers = {
"Authorization": f"Bearer {hf_token}"
}
url = "https://huggingface.co/spaces/clayp/reaction-sys/resolve/main/system.txt"
response = requests.get(url, headers=headers)
if response.status_code == 200:
return response.text.strip()
else:
raise Exception("Failed to fetch system.txt from private Gradio space")
def predict(inputs, chat_counter, chatbot=[], history=[]):
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {OPENAI_API_KEY}"
}
# Get system message using get_system_txt function
system_msg = get_system_txt()
top_p = 1.0
temperature = 0.0
messages = [{"role": "system", "content": system_msg},]
for data in chatbot:
user = {"role": "user", "content": data[0]}
assistant = {"role": "assistant", "content": data[1]}
messages.append(user)
messages.append(assistant)
temp = {"role": "user", "content": inputs}
messages.append(temp)
payload = {
"model": "gpt-4",
"messages": messages,
"temperature": temperature,
"top_p": top_p,
"n": 1,
"stream": True,
"presence_penalty": 0,
"frequency_penalty": 0,
}
chat_counter += 1
history.append(inputs)
response = requests.post(API_URL, headers=headers, json=payload, stream=True)
token_counter = 0
partial_words = ""
counter = 0
for chunk in response.iter_lines():
if counter == 0:
counter += 1
continue
if chunk.decode():
chunk = chunk.decode()
if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:
partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"]
if token_counter == 0:
history.append(" " + partial_words)
else:
history[-1] = partial_words
chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2)]
token_counter += 1
yield chat, history, chat_counter, response
def reset_textbox():
return gr.update(value='')
title = """<h1 align="center">Response simulator: No account needed, just enter the text in the input box below and hit submit or enter.</h1>"""
with gr.Blocks() as demo:
gr.HTML(title)
with gr.Column(elem_id="col_container"):
chatbot = gr.Chatbot(label='GPT-4', elem_id="chatbot")
inputs = gr.Textbox(placeholder="", label="Type an input and press Enter")
state = gr.State([])
server_status_code = gr.Textbox(label="Status code from OpenAI server",)
chat_counter = gr.Number(value=0, visible=False, precision=0)
inputs.submit(predict, [inputs, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code], queue=True)
inputs.submit(reset_textbox, [], [inputs])
demo.queue(max_size=5, concurrency_count=5).launch() |