app.py

import openai
import requests
import os
import streamlit as st
from PyPDF2 import PdfReader
import docx
import io
from datetime import datetime

# Session state initialization
if 'chat_histories' not in st.session_state:
    st.session_state.chat_histories = {}
if 'chat_names' not in st.session_state:
    st.session_state.chat_names = {}
if 'chat_models' not in st.session_state:
    st.session_state.chat_models = {}
if 'current_chat_id' not in st.session_state:
    st.session_state.current_chat_id = None
if 'selected_model' not in st.session_state:
    st.session_state.selected_model = None
if 'document_text' not in st.session_state:
    st.session_state.document_text = None
if 'editing_chat_id' not in st.session_state:
    st.session_state.editing_chat_id = None

# Existing helper functions remain unchanged
def read_pdf(file):
    reader = PdfReader(file)
    return "\n".join(page.extract_text() for page in reader.pages)

def read_docx(file):
    doc = docx.Document(file)
    return "\n".join(paragraph.text for paragraph in doc.paragraphs)

def process_document(uploaded_file):
    if not uploaded_file:
        return None
    
    try:
        file_bytes = uploaded_file.getvalue()
        
        if uploaded_file.type == "application/pdf":
            return read_pdf(io.BytesIO(file_bytes))
        elif uploaded_file.type == "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
            return read_docx(io.BytesIO(file_bytes))
        return "Ikke-understøttet filformat. Upload venligst PDF eller DOCX fil."
            
    except Exception as e:
        return f"Fejl ved læsning af fil: {str(e)}"

def chat_with_gpt(chat_id, prompt):
    client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
    messages = [{"role": msg["role"], "content": msg["content"]} 
               for msg in st.session_state.chat_histories[chat_id]]
    messages.append({"role": "user", "content": prompt})
    
    response = client.chat.completions.create(
        model="gpt-4",
        messages=messages
    )
    return response.choices[0].message.content.strip()

def chat_with_claude(chat_id, prompt):
    url = "https://api.anthropic.com/v1/messages"
    headers = {
        "x-api-key": os.getenv("ANTHROPIC_API_KEY"),
        "anthropic-version": "2023-06-01",
        "content-type": "application/json"
    }
    
    messages = [{"role": msg["role"], "content": msg["content"]} 
                for msg in st.session_state.chat_histories[chat_id]]
    messages.append({"role": "user", "content": prompt})

    try:
        response = requests.post(url, headers=headers, json={
            "model": "claude-3-opus-20240229",
            "messages": messages,
            "max_tokens": 1024,
            "temperature": 0.7
        })
        response.raise_for_status()
        return response.json()["content"][0]["text"].strip()
    except Exception as e:
        return f"Der opstod en fejl: {str(e)}"

# New: Function to chat with Mistral
def chat_with_mistral(chat_id, prompt):
    client = openai.OpenAI(api_key=os.getenv("MISTRAL_API_KEY"),
                          base_url="https://api.mistral.ai/v1")
    
    messages = [{"role": msg["role"], "content": msg["content"]} 
               for msg in st.session_state.chat_histories[chat_id]]
    messages.append({"role": "user", "content": prompt})
    
    try:
        response = client.chat.completions.create(
            model="mistral-large-latest",
            messages=messages,
            temperature=0.7,
            max_tokens=1024
        )
        return response.choices[0].message.content.strip()
    except Exception as e:
        return f"Der opstod en fejl: {str(e)}"

def create_new_chat():
    chat_id = datetime.now().strftime("%Y%m%d_%H%M%S")
    st.session_state.chat_histories[chat_id] = []
    st.session_state.chat_names[chat_id] = f"Chat {datetime.now().strftime('%d/%m %H:%M')}"
    st.session_state.chat_models[chat_id] = None
    st.session_state.current_chat_id = chat_id
    st.session_state.selected_model = None
    st.session_state.document_text = None
    return chat_id

def delete_chat(chat_id):
    if chat_id in st.session_state.chat_histories:
        del st.session_state.chat_histories[chat_id]
        del st.session_state.chat_names[chat_id]
        del st.session_state.chat_models[chat_id]
        if st.session_state.current_chat_id == chat_id:
            st.session_state.current_chat_id = None
            st.session_state.selected_model = None

def rename_chat(chat_id, new_name):
    if chat_id in st.session_state.chat_names:
        st.session_state.chat_names[chat_id] = new_name

# Modified: Function to get model icon
def get_model_icon(model):
    if model == "gpt":
        return "🌐"
    elif model == "claude":
        return "🔅"
    elif model == "mistral":
        return "🎗️"  # New Mistral icon
    return "💬"

def format_chat_name(chat_id):
    model_icon = get_model_icon(st.session_state.chat_models.get(chat_id))
    chat_name = st.session_state.chat_names.get(chat_id, "Unavngivet chat")
    return f"{model_icon} {chat_name}"

# Streamlit UI
st.set_page_config(page_title="AI Chat", page_icon="🤖", layout="wide")

# Custom CSS remains unchanged
st.markdown("""
    <style>
    .main {
        padding: 0rem 1rem;
    }
    .stButton button {
        width: 100%;
        border-radius: 20px;
        height: 45px;
        font-size: 16px;
    }
    .chat-container {
        background-color: #f8f9fa;
        border-radius: 10px;
        padding: 20px;
        margin: 10px 0;
    }
    .model-select {
        display: flex;
        gap: 10px;
        margin-bottom: 20px;
    }
    .chat-header {
        display: flex;
        justify-content: space-between;
        align-items: center;
        margin-bottom: 20px;
    }
    </style>
""", unsafe_allow_html=True)

# Main layout
col_sidebar, col_main = st.columns([1, 3])

with col_sidebar:
    st.markdown("### 📱 Chat Oversigt")
    
    if st.button("➕✏️ Ny Chat", key="new_chat"):
        create_new_chat()
    
    st.markdown("---")
    
    # Chat history section
    st.markdown("### 🗃️ Tidligere Chats")
    for chat_id in list(st.session_state.chat_histories.keys()):
        col1, col2, col3 = st.columns([3, 1, 1])
        
        with col1:
            if st.session_state.editing_chat_id == chat_id:
                new_name = st.text_input("Nyt navn", 
                                       value=st.session_state.chat_names[chat_id],
                                       key=f"rename_{chat_id}")
                if st.button("Gem", key=f"save_{chat_id}"):
                    rename_chat(chat_id, new_name)
                    st.session_state.editing_chat_id = None
                    st.rerun()
            else:
                if st.button(format_chat_name(chat_id), 
                           key=f"select_{chat_id}",
                           type="primary" if chat_id == st.session_state.current_chat_id else "secondary"):
                    st.session_state.current_chat_id = chat_id
        
        with col2:
            if st.button("✏️", key=f"edit_{chat_id}"):
                st.session_state.editing_chat_id = chat_id
                st.rerun()
        
        with col3:
            if st.button("🗑️", key=f"delete_{chat_id}"):
                delete_chat(chat_id)
                st.rerun()
    
    # Document upload section remains unchanged
    st.markdown("### 📄 Upload Dokument")
    uploaded_file = st.file_uploader("", type=['pdf', 'docx'])
    if uploaded_file:
        document_text = process_document(uploaded_file)
        if document_text:
            st.session_state.document_text = document_text
            st.success("✅ Dokument uploadet")
            with st.expander("📄 Se dokument"):
                st.text(document_text[:500] + "..." if len(document_text) > 500 else document_text)

# Main chat area
with col_main:
    if st.session_state.current_chat_id is None:
        create_new_chat()
    
    # Modified model selection to include Mistral
    if st.session_state.selected_model is None:
        st.markdown("### 🤖 Vælg AI Model")
        col1, col2, col3 = st.columns(3)  # Changed to 3 columns
        
        with col1:
            if st.button("🌐 ChatGPT", use_container_width=True):
                st.session_state.selected_model = "gpt"
                st.session_state.chat_models[st.session_state.current_chat_id] = "gpt"
                st.rerun()
                
        with col2:
            if st.button("🔅 Claude", use_container_width=True):
                st.session_state.selected_model = "claude"
                st.session_state.chat_models[st.session_state.current_chat_id] = "claude"
                st.rerun()
                
        with col3:  # New Mistral button
            if st.button("🎗️ Mistral", use_container_width=True):
                st.session_state.selected_model = "mistral"
                st.session_state.chat_models[st.session_state.current_chat_id] = "mistral"
                st.rerun()
    else:
        # Chat interface
        current_model = st.session_state.chat_models[st.session_state.current_chat_id]
        st.markdown(f"### {get_model_icon(current_model)} Chat med {current_model.upper()}")
        
        # Chat messages
        chat_container = st.container()
        with chat_container:
            for msg in st.session_state.chat_histories[st.session_state.current_chat_id]:
                with st.chat_message(msg["role"]):
                    st.write(msg["content"])
        
        # Modified input area to handle Mistral
        if prompt := st.chat_input("🖊️ Skriv din besked her..."):
            if st.session_state.document_text:
                full_prompt = f"""Kontekst dokument:
{st.session_state.document_text}
Spørgsmål: {prompt}"""
            else:
                full_prompt = prompt

            if st.session_state.selected_model in ["gpt", "claude", "mistral"]:
                # Add user message
                st.session_state.chat_histories[st.session_state.current_chat_id].append({
                    "role": "user",
                    "content": prompt
                })
                
                # Get and add AI response based on selected model
                if st.session_state.selected_model == "gpt":
                    response = chat_with_gpt(st.session_state.current_chat_id, full_prompt)
                elif st.session_state.selected_model == "claude":
                    response = chat_with_claude(st.session_state.current_chat_id, full_prompt)
                else:  # Mistral
                    response = chat_with_mistral(st.session_state.current_chat_id, full_prompt)
                
                st.session_state.chat_histories[st.session_state.current_chat_id].append({
                    "role": "assistant",
                    "content": response
                })
                
                st.rerun()