import gradio as gr
import os
import requests
import tempfile

HF_API_TOKEN = os.getenv("HF_TOKEN")
MODEL_ID = "rohitnagareddy/Qwen3-0.6B-Coding-Finetuned-v1"
API_URL = f"https://api-inference.huggingface.co/models/{MODEL_ID}"
HEADERS = {"Authorization": f"Bearer {HF_API_TOKEN}"}

def query_hf_api(prompt):
    response = requests.post(API_URL, headers=HEADERS, json={"inputs": prompt})
    if response.status_code == 200:
        return response.json()[0]["generated_text"]
    return f"[Error] {response.status_code}: {response.text}"

def chat_fn(prompt, chat_history):
    response = query_hf_api(prompt)
    chat_history.append({"role": "user", "content": prompt})
    chat_history.append({"role": "assistant", "content": response})
    return chat_history, chat_history

def save_chat(chat_history):
    with tempfile.NamedTemporaryFile(delete=False, suffix=".txt", mode="w", encoding="utf-8") as f:
        for entry in chat_history:
            f.write(f"{entry['role'].capitalize()}: {entry['content']}\n\n")
        return f.name  # return path to file

with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
    gr.Markdown("# 🤖 Qwen3 Coding Chatbot (Gradio + HF API)")
    
    with gr.Row():
        clear = gr.Button("🧹 Clear Chat")
        download_btn = gr.Button("⬇️ Download Chat")
    
    chat = gr.Chatbot(label="Qwen Chat", type="messages")
    msg = gr.Textbox(label="Your message", placeholder="Ask me something...")
    submit = gr.Button("🚀 Send")
    history = gr.State([])
    download_file = gr.File(label="Download", visible=False)

    submit.click(chat_fn, [msg, history], [chat, history])
    msg.submit(chat_fn, [msg, history], [chat, history])
    clear.click(lambda: ([], []), None, [chat, history])
    download_btn.click(save_chat, [history], download_file)

demo.launch(auth=[("admin", "securepass")])