app.py

import streamlit as st
from PIL import Image
import io
import base64
import uuid
from gtts import gTTS
import google.generativeai as genai
from io import BytesIO
import PyPDF2
from audio_recorder_streamlit import audio_recorder

# Set your API key
api_key = "AIzaSyAHD0FwX-Ds6Y3eI-i5Oz7IdbJqR6rN7pg"  # Replace with your actual API key
genai.configure(api_key=api_key)

# Configure the generative AI model
generation_config = genai.GenerationConfig(
    temperature=0.9,
    max_output_tokens=3000
)

# Safety settings configuration
safety_settings = [
    {
        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
        "threshold": "BLOCK_NONE",
    },
    {
        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
        "threshold": "BLOCK_NONE",
    },
    {
        "category": "HARM_CATEGORY_HATE_SPEECH",
        "threshold": "BLOCK_NONE",
    },
    {
        "category": "HARM_CATEGORY_HARASSMENT",
        "threshold": "BLOCK_NONE",
    },
]

# Initialize session state
if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []
if 'file_uploader_key' not in st.session_state:
    st.session_state['file_uploader_key'] = str(uuid.uuid4())

# --- Streamlit UI ---
st.title("Gemini Chatbot")
st.write("Interact with the powerful Gemini 1.5 models.")

# Model Selection Dropdown
selected_model = st.selectbox("Choose a Gemini 1.5 Model:", ["gemini-1.5-flash-latest", "gemini-1.5-pro-latest"])

# TTS Option Checkbox
enable_tts = st.checkbox("Enable Text-to-Speech")

# --- Helper Functions ---
def get_file_base64(file_content, mime_type):
    base64_data = base64.b64encode(file_content).decode()
    return {"mime_type": mime_type, "data": base64_data}

def clear_conversation():
    st.session_state['chat_history'] = []
    st.session_state['file_uploader_key'] = str(uuid.uuid4())

def display_chat_history():
    chat_container = st.empty()
    with chat_container.container():
        for entry in st.session_state['chat_history']:
            role = entry["role"]
            parts = entry["parts"][0]
            if 'text' in parts:
                st.markdown(f"**{role.title()}:** {parts['text']}")
            elif 'data' in parts:
                mime_type = parts.get('mime_type', '')
                if mime_type.startswith('image'):
                    st.image(Image.open(io.BytesIO(base64.b64decode(parts['data']))),
                             caption='Uploaded Image', use_column_width=True)
                elif mime_type == 'application/pdf':
                    st.write("**PDF Content:**")
                    pdf_reader = PyPDF2.PdfReader(io.BytesIO(base64.b64decode(parts['data'])))
                    for page_num in range(len(pdf_reader.pages)):
                        page = pdf_reader.pages[page_num]
                        st.write(page.extract_text())
                elif mime_type.startswith('audio'):
                    st.audio(io.BytesIO(base64.b64decode(parts['data'])), format=mime_type)
                elif mime_type.startswith('video'):
                    st.video(io.BytesIO(base64.b64decode(parts['data'])))

# --- Send Message Function ---
def send_message(audio_data=None):
    user_input = st.session_state.user_input
    uploaded_files = st.session_state.uploaded_files
    prompt_parts = []

    # Add user input to the prompt
    if user_input:
        prompt_parts.append({"text": user_input})
        st.session_state['chat_history'].append({"role": "user", "parts": [{"text": user_input}]})

    # Handle uploaded files
    if uploaded_files:
        for uploaded_file in uploaded_files:
            file_content = uploaded_file.read()
            prompt_parts.append(get_file_base64(file_content, uploaded_file.type))
            st.session_state['chat_history'].append(
                {"role": "user", "parts": [get_file_base64(file_content, uploaded_file.type)]}
            )

    # Handle audio data
    if audio_data:
        prompt_parts.append(get_file_base64(audio_data, 'audio/wav'))
        st.session_state['chat_history'].append(
            {"role": "user", "parts": [get_file_base64(audio_data, 'audio/wav')]}
        )

    # Generate response using the selected model
    try:
        model = genai.GenerativeModel(
            model_name=selected_model,
            generation_config=generation_config,
            safety_settings=safety_settings
        )

        response = model.generate_content([{"role": "user", "parts": prompt_parts}])
        response_text = response.text if hasattr(response, "text") else "No response text found."

        if response_text:
            st.session_state['chat_history'].append({"role": "model", "parts": [{"text": response_text}]})
            if enable_tts:
                tts = gTTS(text=response_text, lang='en')
                tts_file = BytesIO()
                tts.write_to_fp(tts_file)
                tts_file.seek(0)
                st.audio(tts_file, format='audio/mp3')

    except Exception as e:
        st.error(f"An error occurred: {e}")

    st.session_state.user_input = ''
    st.session_state.uploaded_files = []
    st.session_state.file_uploader_key = str(uuid.uuid4())

    # Update the chat history display
    display_chat_history()


# --- User Input Area ---
col1, col2 = st.columns([3, 1])
with col1:
    user_input = st.text_area(
        "Enter your message:",
        value="",
        key="user_input"
    )
with col2:
    send_button = st.button(
        "Send",
        on_click=send_message,
        type="primary"
    )

# --- File Uploader ---
uploaded_files = st.file_uploader(
    "Upload Files (Images, Videos, PDFs, MP3):",
    type=["png", "jpg", "jpeg", "mp4", "pdf", "mp3"],
    accept_multiple_files=True,
    key=st.session_state.file_uploader_key
)

# --- Audio Recorder ---
audio_bytes = audio_recorder()
if audio_bytes:
    st.audio(audio_bytes, format="audio/wav")
    if st.button("Send Recording"):
        send_message(audio_data=audio_bytes)

# --- Other Buttons ---
st.button("Clear Conversation", on_click=clear_conversation)

# --- Ensure file_uploader state ---
st.session_state.uploaded_files = uploaded_files

# --- JavaScript for Ctrl+Enter ---
st.markdown(
    """
    <script>
    document.addEventListener('DOMContentLoaded', (event) => {
        document.querySelector('.stTextArea textarea').addEventListener('keydown', function(e) {
            if (e.key === 'Enter' && e.ctrlKey) {
                document.querySelector('.stButton > button').click();
                e.preventDefault();
            }
        });
    });
    </script>
    """,
    unsafe_allow_html=True
)

# --- Display Chat History ---
display_chat_history()