app.py

import os
import gradio as gr
from openai import OpenAI

# Read your key from env (set this in HF Spaces -> Settings -> Secrets)
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
if not OPENAI_API_KEY:
    raise RuntimeError("Missing OPENAI_API_KEY environment variable.")

client = OpenAI(api_key=OPENAI_API_KEY)

DEFAULT_SYS_PROMPT = "You are a helpful assistant. Be concise and accurate."

def chat_fn(message, history, system_prompt, temperature, model_name):
    """
    message: latest user text (str)
    history: list[dict] like [{'role':'user'|'assistant','content': '...'}, ...]
    system_prompt: system instructions (str)
    temperature: float
    model_name: str (e.g., 'gpt-4o-mini' or 'gpt-5')
    """
    # Build messages for the Chat Completions API
    messages = []
    if system_prompt and system_prompt.strip():
        messages.append({"role": "system", "content": system_prompt.strip()})
    # Append prior turns
    messages.extend(history or [])
    # Add the latest user turn
    messages.append({"role": "user", "content": message})

    # Stream tokens and yield partials for Gradio
    completion = client.chat.completions.create(
        model=model_name,
        messages=messages,
        temperature=float(temperature),
        stream=True,
    )

    partial = ""
    for chunk in completion:
        delta = chunk.choices[0].delta
        if delta and delta.content:
            partial += delta.content
            yield partial

with gr.Blocks(title="Healthelic") as demo:
    gr.Markdown("## Healthelic Chat\nA lightweight, streaming chat app.")

    with gr.Row():
        system_prompt = gr.Textbox(
            value=DEFAULT_SYS_PROMPT,
            label="System prompt",
            lines=2
        )

    with gr.Row():
        model_name = gr.Dropdown(
            choices=["gpt-4o-mini", "gpt-4o", "gpt-5-chat-latest"],
            value="gpt-5-chat-latest",
            label="Model"
        )
        temperature = gr.Slider(0.0, 1.2, value=0.7, step=0.1, label="Temperature")

    chat = gr.ChatInterface(
        fn=chat_fn,
        type="messages",
        additional_inputs=[system_prompt, temperature, model_name],
        textbox=gr.Textbox(placeholder="Ask me anything…"),
        examples=[
            ["Explain transformers in one paragraph", DEFAULT_SYS_PROMPT, 0.7, "gpt-4o-mini"],
            ["Write a dad joke about databases", DEFAULT_SYS_PROMPT, 0.7, "gpt-4o-mini"]
        ],
        cache_examples=False,
        save_history=True,
        flagging_mode="manual",
        flagging_options=["👍 Useful", "👎 Not good", "⚠ Inaccurate"],
    )

if __name__ == "__main__":
    demo.launch(share=True)