app.py

import streamlit as st
from PIL import Image
import io
import base64

# Assuming google.generativeai as genai is the correct import based on your description
import google.generativeai as genai

# Configure the API key (should be set as an environment variable or secure storage in production)
api_key = "AIzaSyC70u1sN87IkoxOoIj4XCAPw97ae2LZwNM"  # Replace with your actual API key
genai.configure(api_key=api_key)

generation_config = genai.GenerationConfig(
    temperature=0.9,
    max_output_tokens=3000
)

safety_settings = []

# Initialize session state for chat history
if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []

# UI layout
st.title("Gemini Chatbot")

# Function to convert image to base64
def get_image_base64(image):
    image = image.convert("RGB")  # Convert to RGB to remove alpha channel if present
    buffered = io.BytesIO()
    image.save(buffered, format="JPEG")
    img_str = base64.b64encode(buffered.getvalue()).decode()
    return img_str

# Function to send message and clear input
def send_message():
    user_input = st.session_state['user_input']
    uploaded_files = st.session_state['file_uploader']
    
    if user_input or uploaded_files:
        # Save user input to the chat history
        if user_input:
            st.session_state['chat_history'].append({"role": "user", "parts": [{"text": user_input}]})

        # Process uploaded images
        image_prompts = []
        if uploaded_files:
            for uploaded_file in uploaded_files:
                image = Image.open(uploaded_file).convert("RGB")  # Ensure image is in RGB
                image_base64 = get_image_base64(image)
                image_prompt = {"role": "user", "parts": [{"mime_type": uploaded_file.type, "data": image_base64}]}
                image_prompts.append(image_prompt)
            st.session_state['chat_history'].extend(image_prompts)

        # Choose the appropriate model based on the input type
        model_name = 'gemini-pro-vision' if uploaded_files else 'gemini-pro'
        model = genai.GenerativeModel(
            model_name=model_name,
            generation_config=generation_config,
            safety_settings=safety_settings
        )

        # Generate the response
        response = model.generate_content(st.session_state['chat_history'])
        response_text = response.text if hasattr(response, "text") else "No response text found."
        st.session_state['chat_history'].append({"role": "model", "parts": [{"text": response_text}]})

        # Clear the input box after sending the message
        st.session_state.user_input = ""
        st.session_state.file_uploader = None  # Clear uploaded files

# Multiline text input for the user to send messages
user_input = st.text_area("Enter your message here:", key="user_input", value="")

# File uploader for images
uploaded_files = st.file_uploader(
    "Upload images:",
    type=["png", "jpg", "jpeg"],
    accept_multiple_files=True,
    key="file_uploader"
)

# Button to send the message
send_button = st.button("Send", on_click=send_message)

# Display the chat history
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:
        st.markdown(f"**{role.title()}**: (Image)")