app.py

import gradio as gr
import os, json, re, uuid
from datetime import datetime
from pydub import AudioSegment
import whisper
import requests
import emoji

groq_key = os.getenv("GROQ_API_KEY")
whisper_model = whisper.load_model("base")

def filter_emojis(text):
    allowed_emojis = {"😊", "😄", "👍", "🤖", "✨", "🎉", "💬", "🙌", "😎", "📢", "🧠", "✅"}
    return "".join(char if char not in emoji.EMOJI_DATA or char in allowed_emojis else "" for char in text)

def chat_with_groq(message, history):
    messages = [{"role": "system", "content": "You are JAWERIA'SBOT 🤖 – cheerful, emoji-savvy, and sleek."}]
    messages += history + [{"role": "user", "content": message}]

    headers = {
        "Authorization": f"Bearer {groq_key}",
        "Content-Type": "application/json"
    }

    payload = {
        "model": "llama3-70b-8192",
        "messages": messages
    }

    response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=payload)
    if response.status_code != 200:
        return "", history, f"❌ API Error {response.status_code}: {response.text}"
    raw_reply = response.json()["choices"][0]["message"]["content"]
    reply = filter_emojis(raw_reply)

    history += [{"role": "user", "content": message}, {"role": "assistant", "content": reply}]
    return "", history, history

def transcribe_audio(audio_path):
    if audio_path is None or not os.path.exists(audio_path):
        return "⚠️ No audio recorded."
    try:
        temp_wav = f"{uuid.uuid4()}.wav"
        AudioSegment.from_file(audio_path).export(temp_wav, format="wav")
        result = whisper_model.transcribe(temp_wav)
        os.remove(temp_wav)
        return result["text"]
    except Exception as e:
        return f"❌ Transcription error: {e}"

def save_session(history):
    prompt = next((m["content"] for m in history if m["role"] == "user"), "chat")
    title = re.sub(r"[^\w\s]", "", prompt).strip()
    title = " ".join(title.split()[:6])
    timestamp = datetime.now().strftime("%b %d %Y %H-%M")
    filename = f"{title} - {timestamp}.json"
    with open(filename, "w", encoding="utf-8") as f:
        json.dump(history, f, indent=2, ensure_ascii=False)
    return f"✅ Saved `{filename[:-5]}`"

def list_saved_files():
    return sorted([f[:-5] for f in os.listdir() if f.endswith(".json")])

def load_chat(name):
    filename = f"{name}.json"
    try:
        with open(filename, "r", encoding="utf-8") as f:
            history = json.load(f)
        return history, history, f"✅ Loaded `{name}`"
    except Exception as e:
        return [], [], f"❌ Load error: {e}"

with gr.Blocks(css="""
body { background-color: #111 !important; font-family: 'Segoe UI', sans-serif !important; }
.gr-chatbot { border-radius: 10px; border: 1px solid #333; background-color: #1e1e1e !important; }
.gr-chatbot-message { background-color: #292929 !important; color: #f1f1f1 !important; border-radius: 10px; margin-bottom: 5px; }
textarea, input[type='text'] { background-color: #222 !important; color: #fff !important; border-radius: 8px !important; border: 1px solid #444 !important; padding: 10px; }
.gr-button { background-color: #333 !important; color: #fff !important; border: 1px solid #444 !important; border-radius: 8px; padding: 8px 14px; font-weight: bold; transition: background-color 0.2s; }
.gr-button:hover { background-color: #555 !important; cursor: pointer; }
.gr-dropdown { background-color: #222 !important; color: #fff !important; border-radius: 8px; border: 1px solid #444; padding: 8px; }
h1, h2, h3, .gr-markdown { color: #f1f1f1 !important; text-align: center; }
audio { background-color: #000 !important; border: 1px solid #333 !important; }
""") as demo:

    state = gr.State([])

    gr.Markdown("# ✨ JAWERIA'SBOT 🤖")
    gr.Markdown("Speak or type — your assistant listens and replies with text and emojis 💬")

    chatbot = gr.Chatbot(type="messages", height=400)
    chat_input = gr.Textbox(label="💬 Message", placeholder="Type or speak your message...")
    send_btn = gr.Button("Send 🚀")

    with gr.Row():
        voice_input = gr.Audio(label="🎤 Speak", type="filepath", interactive=True)
        voice_btn = gr.Button("🎙️ Transcribe to Text")

    with gr.Row():
        new_chat_btn = gr.Button("🆕 New")
        save_btn = gr.Button("💾 Save")
        saved_dropdown = gr.Dropdown(label="📂 Load Saved", choices=list_saved_files())
        load_btn = gr.Button("📥 Load")

    save_msg = gr.Markdown()
    load_msg = gr.Markdown()

    send_btn.click(chat_with_groq, inputs=[chat_input, state], outputs=[chat_input, chatbot, state])
    chat_input.submit(chat_with_groq, inputs=[chat_input, state], outputs=[chat_input, chatbot, state])
    voice_btn.click(transcribe_audio, inputs=[voice_input], outputs=[chat_input])
    new_chat_btn.click(fn=lambda: ("", [], []), outputs=[chat_input, chatbot, state])
    save_btn.click(fn=save_session, inputs=[state], outputs=[save_msg])
    save_btn.click(fn=list_saved_files, outputs=[saved_dropdown])
    load_btn.click(fn=load_chat, inputs=[saved_dropdown], outputs=[chatbot, state, load_msg])
    demo.load(fn=list_saved_files, outputs=[saved_dropdown])

demo.launch()