app.py

# ✅ STEP 5: Write the app.py file

import os
import io
import json
import time
import base64
import streamlit as st
from groq import Groq
from gtts import gTTS
from audiorecorder import audiorecorder
from faster_whisper import WhisperModel
from pathlib import Path
from pydub import AudioSegment

# Load environment variable for GROQ API KEY
GROQ_API_KEY = os.environ.get ("GROQ_API_KEY") 
if not GROQ_API_KEY:
    raise ValueError("please set the GROQ_API_KEY environment variable")
# --------------------.get ()----
# Initialize session history & flags
# ------------------------
if "history" not in st.session_state:
    st.session_state.history = []
if "last_answer" not in st.session_state:
    st.session_state.last_answer = None
if "last_audio" not in st.session_state:
    st.session_state.last_audio = None
if "just_generated" not in st.session_state:
    st.session_state.just_generated = False
if "suppress_audio" not in st.session_state:
    st.session_state.suppress_audio = False
if "playing" not in st.session_state:
    st.session_state.playing = None
if "play_autoplay" not in st.session_state:
    st.session_state.play_autoplay = False
if "selected_audio_path" not in st.session_state:
    st.session_state.selected_audio_path = None

history = st.session_state.history  # shorthand

# ------------------------
# Persistent Chat Memory
# ------------------------
def ensure_tag_dirs(tag):
    base = Path("chat_data") / tag
    (base / "uploads").mkdir(parents=True, exist_ok=True)
    (base / "downloads").mkdir(parents=True, exist_ok=True)
    return base

def get_chat_file(tag):
    return ensure_tag_dirs(tag) / f"{tag}.json"

def load_chat(tag):
    path = get_chat_file(tag)
    if path.exists():
        try:
            return json.loads(path.read_text())
        except Exception:
            return []
    return []

def save_chat(tag, history):
    path = get_chat_file(tag)
    tmp = path.with_suffix(".tmp")
    tmp.write_text(json.dumps(history, ensure_ascii=False, indent=2))
    tmp.replace(path)

# ------------------------
# Autoplay helper
# ------------------------
# ------------------------
# Audio player helper (manual play only)
# ------------------------
def autoplay_audio(file_path):
    with open(file_path, "rb") as f:
        b64 = base64.b64encode(f.read()).decode()
    md = f"""
    <audio controls>
        <source src="data:audio/mp3;base64,{b64}" type="audio/mp3">
    </audio>
    """
    st.markdown(md, unsafe_allow_html=True)

# ------------------------
# Sidebar settings
# ------------------------
st.sidebar.title("🔧 Settings")

# =====================================
# Sidebar: Select Conversation Mode
# =====================================
st.sidebar.markdown("### ⚙️ Conversation Mode")

mode = st.sidebar.selectbox(
    "Select Conversation Mode",
    ["voice_chat", "text_chat"],
    key="chat_mode"
)

# Ensure chat_data folder for this mode
chat_tag = mode
if not st.session_state.history:
    st.session_state.history.extend(load_chat(chat_tag))

st.markdown(
    "<h2 style='text-align: center; color: #1E90FF;'>🎤 Speech ↔ Text ↔ Speech Chatbot</h2>",
    unsafe_allow_html=True
)
groq_key = st.sidebar.text_input("GROQ_API_KEY", os.getenv("GROQ_API_KEY", ""), type="password")
groq_model = st.sidebar.selectbox(
    "Groq Model",
    ["llama-3.1-8b-instant", "llama-3.3-70b-versatile", "meta-llama/llama-guard-4-12b"]
)
whisper_size = st.sidebar.selectbox("Whisper model size", ["tiny", "base", "small", "medium", "large-v3"], index=1)
whisper_dtype = st.sidebar.selectbox("Compute type", ["int8", "float16", "float32"], index=0)
tts_lang = st.sidebar.text_input("gTTS Language Code", "en")

speech_rate = st.sidebar.slider("Speech Rate (%)", 50, 150, 100, 5)
pitch_shift = st.sidebar.slider("Pitch Shift (semitones)", -5, 5, 0, 1)

# ------------------------
# Feedback Summary in Sidebar
# ------------------------
likes = sum(1 for m in history if m.get("feedback") == "like")
dislikes = sum(1 for m in history if m.get("feedback") == "dislike")

st.sidebar.markdown("### 📝 Feedback Summary")
st.sidebar.write(f"👍 Likes: {likes}")
st.sidebar.write(f"👎 Dislikes: {dislikes}")

if st.sidebar.button("🗑️ Clear Feedback Summary"):
    for m in history:
        if "feedback" in m:
            m["feedback"] = None
    save_chat(chat_tag, history)
    st.session_state.playing = None
    st.rerun()

# ------------------------
# Conversation history dropdown
# ------------------------
st.sidebar.markdown("### 💬 Conversation History")
questions = [m["content"] for m in history if m["role"] == "user"]
selected_q = st.sidebar.selectbox("Select a past question", [""] + questions, index=0)

# ------------------------
# Delete entire history
# ------------------------
if st.sidebar.button("🗑️ Delete History"):
    st.session_state.confirm_delete = True

if st.session_state.get("confirm_delete", False):
    st.sidebar.warning("⚠️ Are you sure you want to delete the entire history?")
    col1, col2 = st.sidebar.columns([1, 1])
    with col1:
        if st.button("✅ Yes, delete"):
            st.session_state.history.clear()
            save_chat(chat_tag, st.session_state.history)
            st.session_state.playing = None
            st.session_state.last_answer = None
            st.session_state.last_audio = None
            st.session_state.selected_audio_path = None
            st.session_state.confirm_delete = False
            st.rerun()
    with col2:
        if st.button("❌ Cancel"):
            st.session_state.confirm_delete = False
            st.rerun()

# ======================================================
# MODE HANDLING
# ======================================================
if mode == "voice_chat":
    st.markdown("<h3 style='text-align: center; color: #1E90FF;'>🎤 Voice Chat Mode</h3>", unsafe_allow_html=True)

    # Recording + Upload
    audio = audiorecorder("🎙️ Start Recording", "⏹️ Stop Recording")
    uploaded = st.file_uploader("📂 Or upload an audio file", type=["wav", "mp3", "m4a"])

    wav_path = None
    if len(audio) > 0:
        wav_path = ensure_tag_dirs(chat_tag) / "uploads" / "recorded.wav"
        audio.export(wav_path, format="wav")
        st.audio(str(wav_path))
    elif uploaded:
        wav_path = ensure_tag_dirs(chat_tag) / "uploads" / uploaded.name
        with open(wav_path, "wb") as f:
            f.write(uploaded.read())
        st.audio(str(wav_path))

    # Process Audio
    if wav_path and st.button("🧠 Transcribe → Ask Groq → Speak"):
        model = WhisperModel(whisper_size, device="cpu", compute_type=whisper_dtype)
        segments, _ = model.transcribe(str(wav_path))
        transcript = " ".join([seg.text for seg in segments])
        st.success(f"🗣️ You said: {transcript}")

        client = Groq(api_key=groq_key)
        resp = client.chat.completions.create(
            model=groq_model,
            messages=[
                {"role": "system", "content": "You are a helpful AI voice assistant."},
                {"role": "user", "content": transcript},
            ],
        )
        answer = resp.choices[0].message.content

        tts = gTTS(answer, lang=tts_lang)
        buf = io.BytesIO()
        tts.write_to_fp(buf)
        buf.seek(0)
        audio_seg = AudioSegment.from_file(buf, format="mp3")

        if speech_rate != 100:
            audio_seg = audio_seg._spawn(audio_seg.raw_data, overrides={
                "frame_rate": int(audio_seg.frame_rate * (speech_rate / 100.0))
            }).set_frame_rate(audio_seg.frame_rate)

        if pitch_shift != 0:
            new_sample_rate = int(audio_seg.frame_rate * (2.0 ** (pitch_shift / 12.0)))
            audio_seg = audio_seg._spawn(audio_seg.raw_data, overrides={'frame_rate': new_sample_rate})
            audio_seg = audio_seg.set_frame_rate(44100)

        out_path = ensure_tag_dirs(chat_tag) / "downloads" / f"voice_{int(time.time())}.mp3"
        audio_seg.export(out_path, format="mp3")

        history.append({"role": "user", "content": transcript})
        history.append({"role": "assistant", "content": answer, "audio": str(out_path)})
        save_chat(chat_tag, history)

        st.session_state.last_answer = answer
        st.session_state.last_audio = str(out_path)
        st.session_state.just_generated = True
        st.session_state.suppress_audio = False
        st.session_state.playing = None
        st.session_state.selected_audio_path = None

elif mode == "text_chat":
    st.markdown("<h3 style='text-align: center; color: #1E90FF;'>⌨️ Text Chat Mode</h3>", unsafe_allow_html=True)

    with st.form("text_chat_form", clear_on_submit=True):
        user_input = st.text_input("Type your question here:", key="text_chat_input")
        submitted = st.form_submit_button("Send")

    if submitted and user_input:
        history.append({"role": "user", "content": user_input})

        client = Groq(api_key=groq_key)
        resp = client.chat.completions.create(
            model=groq_model,
            messages=[
                {"role": "system", "content": "You are a helpful AI assistant."},
                {"role": "user", "content": user_input},
            ],
        )
        assistant_reply = resp.choices[0].message.content

        assistant_msg = {"role": "assistant", "content": assistant_reply}

        # Save TTS audio
        tts = gTTS(assistant_reply, lang=tts_lang)
        out_path = ensure_tag_dirs(chat_tag) / "downloads" / f"text_{int(time.time())}.mp3"
        tts.save(str(out_path))
        assistant_msg["audio"] = str(out_path)

        history.append(assistant_msg)
        save_chat(chat_tag, history)

        st.session_state.last_answer = assistant_reply
        st.session_state.last_audio = str(out_path)
        st.session_state.just_generated = True
        st.session_state.suppress_audio = False
        st.session_state.playing = None
        st.session_state.selected_audio_path = None

        st.rerun()

# ======================================================
# 3️⃣ Speech Output
# ======================================================
st.subheader("🔊 Speech Output")

if st.session_state.last_audio:
    if st.session_state.suppress_audio:
        autoplay_audio(st.session_state.last_audio)
        st.session_state.suppress_audio = False
    elif st.session_state.just_generated:
        autoplay_audio(st.session_state.last_audio)
        st.session_state.just_generated = False
    else:
        autoplay_audio(st.session_state.last_audio)

# ======================================================
# 4️⃣ Selected Conversation
# ======================================================
if selected_q:
    st.markdown("<h3 style='text-align: center; color: #2E86C1;'>📜 Selected Conversation</h3>", unsafe_allow_html=True)
    st.markdown(f"**You:** {selected_q}")

    for idx, msg in enumerate(history):
        if msg["role"] == "user" and msg["content"] == selected_q:
            if idx + 1 < len(history) and history[idx + 1]["role"] == "assistant":
                answer_msg = history[idx + 1]
                st.markdown(f"**Assistant:** {answer_msg['content']}")

                if st.button("🗑️ Delete This Conversation", key=f"delete_selected_{idx}"):
                    del history[idx:idx+2]
                    save_chat(chat_tag, history)
                    st.session_state.playing = None
                    st.session_state.selected_audio_path = None
                    st.rerun()

                if "audio" in answer_msg:
                    if st.button("▶️ Play Audio (Selected)", key=f"play_selected_{idx}"):
                        st.session_state.playing = None
                        st.session_state.suppress_audio = True
                        st.session_state.selected_audio_path = answer_msg["audio"]
                        st.rerun()

                    if st.session_state.selected_audio_path == answer_msg["audio"]:
                        with open(answer_msg["audio"], "rb") as f:
                            b64 = base64.b64encode(f.read()).decode()
                        md = f"""
                        <audio controls>
                            <source src="data:audio/mp3;base64,{b64}" type="audio/mp3">
                        </audio>
                        """
                        st.markdown(md, unsafe_allow_html=True)
            break

# ======================================================
# 5️⃣ Latest Conversation
# ======================================================
st.markdown("<h3 style='text-align: center; color: #117A65;'>💬 Latest Conversation</h3>", unsafe_allow_html=True)

if len(history) >= 2 and history[-2]["role"] == "user" and history[-1]["role"] == "assistant":
    user_msg = history[-2]
    assistant_msg = history[-1]

    st.markdown(f"**You:** {user_msg['content']}")
    st.markdown(f"**Assistant:** {assistant_msg['content']}")

    if "audio" in assistant_msg:
        col1, col2 = st.columns([1, 1])
        with col1:
            if st.button("▶️ Play Audio", key="play_latest"):
                st.session_state.playing = assistant_msg["audio"]
                st.session_state.selected_audio_path = None
                st.rerun()

            if st.session_state.playing == assistant_msg["audio"]:
                with open(assistant_msg["audio"], "rb") as f:
                    b64 = base64.b64encode(f.read()).decode()
                st.markdown(
                    f"""
                    <audio controls>
                        <source src="data:audio/mp3;base64,{b64}" type="audio/mp3">
                    </audio>
                    """,
                    unsafe_allow_html=True,
                )

        with col2:
            if st.button("🗑️ Delete This Q+A", key="delete_latest"):
                del history[-2:]
                save_chat(chat_tag, history)
                st.session_state.playing = None
                st.rerun()

    if "feedback" not in assistant_msg:
        assistant_msg["feedback"] = None

    col1, col2 = st.columns([1, 1])
    with col1:
        if st.button("👍 Like", key="like_latest"):
            assistant_msg["feedback"] = "like"
            save_chat(chat_tag, history)
            st.rerun()
    with col2:
        if st.button("👎 Dislike", key="dislike_latest"):
            assistant_msg["feedback"] = "dislike"
            save_chat(chat_tag, history)
            st.rerun()

    if assistant_msg["feedback"] == "like":
        st.success("You liked this response 👍")
    elif assistant_msg["feedback"] == "dislike":
        st.error("You disliked this response 👎")

    st.markdown("---")

# ✅ STEP 6: Launch Streamlit via ngrok

!wget -q -O - ipv4.icanhazip.com 
!streamlit run app.py & npx localtunnel --port 8501