app.py

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

# 🔐 API key
groq_key = "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"  # Replace with your actual Groq key

# 🧠 Load Whisper locally
whisper_model = whisper.load_model("base")  # Use "small"/"medium"/"large" for better results

# 💬 Chat using Groq
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)
    reply = response.json()["choices"][0]["message"]["content"]

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

# 🎙️ Transcribe voice to text
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}"

# 💾 Save/load
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}"

# 🌙 Gradio UI
with gr.Blocks(css="""
body {background-color: #111 !important; color: white;}
.gr-chatbot-message {background-color: #222 !important; color: white !important; border-radius: 6px;}
input[type='text'], textarea, select, .gr-textbox {background-color: #222 !important; color: white !important;}
.gr-button {background-color: #007acc !important; color: white !important;}
""") as demo:

    state = gr.State([])

    gr.Markdown("<h1 style='text-align:center; color:#00ccff;'>✨ JAWERIA'SBOT 🤖</h1>")
    gr.Markdown("<div style='text-align:center;'>Speak or type — your assistant listens and replies with text 💬</div>")

    chatbot = gr.Chatbot(type="messages", height=350)
    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()

    # 🔗 Bind actions
    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()