File size: 1,810 Bytes
ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 b9e0046 ce5b5d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
import os
import gradio as gr
from dotenv import load_dotenv
from openai import OpenAI
from prompts.initial_prompt import INITIAL_PROMPT
from prompts.main_prompt import MAIN_PROMPT
# Load OpenAI API Key from .env file
if os.path.exists(".env"):
load_dotenv(".env")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=OPENAI_API_KEY)
def gpt_call(history, user_message, model="gpt-4o-mini", max_tokens=1024, temperature=0.7, top_p=0.95):
messages = [{"role": "system", "content": MAIN_PROMPT}]
for user_text, assistant_text in history:
if user_text:
messages.append({"role": "user", "content": user_text})
if assistant_text:
messages.append({"role": "assistant", "content": assistant_text})
messages.append({"role": "user", "content": user_message})
completion = client.chat.completions.create(model=model, messages=messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p)
return completion.choices[0].message.content
def respond(user_message, history):
if not user_message:
return "", history
assistant_reply = gpt_call(history, user_message)
history.append((user_message, assistant_reply))
return "", history
with gr.Blocks() as demo:
gr.Markdown("## AI-Guided Math PD Chatbot")
chatbot = gr.Chatbot(value=[("", INITIAL_PROMPT)], height=600)
state_history = gr.State([("", INITIAL_PROMPT)])
user_input = gr.Textbox(placeholder="Type your message here...", label="Your Input")
user_input.submit(respond, inputs=[user_input, state_history], outputs=[user_input, chatbot]).then(fn=lambda _, h: h, inputs=[user_input, chatbot], outputs=[state_history])
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
|