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from flask import Flask, render_template_string, request, jsonify
import os
from groq import Groq
import re
from pypdf import PdfReader
from langchain_huggingface import HuggingFaceEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_core.documents import Document
from langchain_text_splitters import RecursiveCharacterTextSplitter
app = Flask(__name__)
app.static_folder = 'static'
client = Groq(
api_key="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",
)
embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
vector_store = Chroma(embedding_function=embeddings, collection_name="doc_collection")
text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
chat_history = []
HTML_TEMPLATE = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Chat</title>
<style>
:root {
--bg-gradient-start: #f0f4ff;
--bg-gradient-end: #d9e2ff;
--sidebar-bg: #ffffff;
--sidebar-border: #e0e0e0;
--text-color: #333;
--header-color: #483d8b;
--sidebar-h3: #6a5acd;
--chat-bg: #ffffff;
--user-msg-bg: #6a5acd;
--user-msg-text: white;
--ai-msg-bg: #f0f4ff;
--ai-msg-text: #333;
--input-bg: #ffffff;
--button-bg: #6a5acd;
--button-text: white;
--button-hover: #483d8b;
--thinking-color: #888;
--shadow-color: rgba(0,0,0,0.1);
}
body.dark-mode {
--bg-gradient-start: #1e1e2f;
--bg-gradient-end: #2a2a3f;
--sidebar-bg: #2c2c3e;
--sidebar-border: #3a3a4e;
--text-color: #ddd;
--header-color: #a8a8ff;
--sidebar-h3: #a8a8ff;
--chat-bg: #2c2c3e;
--user-msg-bg: #4a4a7f;
--user-msg-text: #fff;
--ai-msg-bg: #3a3a4e;
--ai-msg-text: #ddd;
--input-bg: #2c2c3e;
--button-bg: #4a4a7f;
--button-text: #fff;
--button-hover: #6a6a9f;
--thinking-color: #aaa;
--shadow-color: rgba(0,0,0,0.3);
}
body {
margin: 0; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background: linear-gradient(135deg, var(--bg-gradient-start), var(--bg-gradient-end));
color: var(--text-color); display: flex; height: 100vh;
}
.sidebar {
width: 250px; background: var(--sidebar-bg); border-right: 1px solid var(--sidebar-border);
padding: 20px; box-shadow: 0 2px 10px var(--shadow-color);
transition: width 0.3s ease;
}
.sidebar:hover { width: 260px; }
.sidebar h3 { color: var(--sidebar-h3); margin-bottom: 10px; }
.sidebar ul { list-style: none; padding: 0; }
.sidebar li { padding: 10px; border-radius: 8px; cursor: pointer; transition: background 0.2s; }
.sidebar li:hover { background: rgba(255,255,255,0.1); }
.main { flex: 1; display: flex; flex-direction: column; padding: 20px; }
.header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 20px; }
.header h1 { color: var(--header-color); font-size: 24px; }
.logo { width: 100px; height: auto; display: block; margin: 0 auto 20px auto; } /* اندازه بزرگتر و مرکزی */
.chat-area { flex: 1; overflow-y: auto; background: var(--chat-bg); border-radius: 12px; padding: 20px; box-shadow: 0 4px 20px var(--shadow-color); }
.message { margin-bottom: 15px; padding: 12px 18px; border-radius: 20px; max-width: 70%; }
.user-message { background: var(--user-msg-bg); color: var(--user-msg-text); align-self: flex-end; }
.ai-message { background: var(--ai-msg-bg); color: var(--ai-msg-text); align-self: flex-start; }
.thinking { color: var(--thinking-color); font-style: italic; opacity: 0.7; }
.input-area { display: flex; align-items: center; margin-top: 20px; background: var(--input-bg); border-radius: 50px; padding: 10px; box-shadow: 0 2px 10px var(--shadow-color); }
input[type="text"] { flex: 1; border: none; padding: 12px; font-size: 16px; outline: none; background: transparent; color: var(--text-color); }
input[type="file"] { margin-left: 10px; color: var(--text-color); }
button { background: var(--button-bg); color: var(--button-text); border: none; padding: 10px 20px; border-radius: 50px; cursor: pointer; transition: background 0.2s; }
button:hover { background: var(--button-hover); }
.dark-mode-toggle { cursor: pointer; font-size: 20px; }
</style>
</head>
<body class="dark-mode">
<div class="sidebar">
<img src="/static/logo.png" alt="Logo" class="logo">
<h3>Chats</h3>
<ul>
<li>+ New Chat</li>
<li>Today</li>
<li>Yesterday</li>
</ul>
</div>
<div class="main">
<div class="header">
<h1>Hi User</h1>
<div class="dark-mode-toggle" onclick="toggleDarkMode()">☀️</div>
</div>
<div class="chat-area" id="chat-area">
<div class="message ai-message">How can I help you today?</div>
</div>
<div class="input-area">
<input type="text" id="user-input" placeholder="Type your message...">
<input type="file" id="file-upload">
<button onclick="sendMessage()">Send</button>
</div>
</div>
<script>
function sendMessage() {
const input = document.getElementById('user-input').value;
const fileInput = document.getElementById('file-upload');
const chatArea = document.getElementById('chat-area');
if (input || fileInput.files.length > 0) {
// Display user message
const userMsg = document.createElement('div');
userMsg.className = 'message user-message';
userMsg.textContent = input || 'Uploaded file: ' + (fileInput.files[0]?.name || '');
chatArea.appendChild(userMsg);
// Prepare form data for upload
const formData = new FormData();
formData.append('message', input);
if (fileInput.files.length > 0) {
formData.append('file', fileInput.files[0]);
}
// Send to backend API
fetch('/chat', {
method: 'POST',
body: formData
})
.then(response => response.json())
.then(data => {
if (data.thinking) {
const thinkMsg = document.createElement('div');
thinkMsg.className = 'message ai-message thinking';
thinkMsg.textContent = data.thinking;
chatArea.appendChild(thinkMsg);
}
const aiMsg = document.createElement('div');
aiMsg.className = 'message ai-message';
aiMsg.textContent = data.response;
chatArea.appendChild(aiMsg);
chatArea.scrollTop = chatArea.scrollHeight;
});
document.getElementById('user-input').value = '';
fileInput.value = '';
}
}
// Add Enter key listener
document.getElementById('user-input').addEventListener('keydown', function(event) {
if (event.key === 'Enter') {
event.preventDefault();
sendMessage();
}
});
// Dark mode toggle function
function toggleDarkMode() {
document.body.classList.toggle('dark-mode');
const toggle = document.querySelector('.dark-mode-toggle');
toggle.textContent = document.body.classList.contains('dark-mode') ? '☀️' : '🌙';
}
</script>
</body>
</html>
"""
@app.route('/')
def index():
return render_template_string(HTML_TEMPLATE)
def process_file(file_obj):
if not file_obj:
return None
file_path = file_obj.filename
file_extension = os.path.splitext(file_path)[1].lower()
try:
if file_extension == ".pdf":
reader = PdfReader(file_obj)
file_text = "\n".join(page.extract_text() or "" for page in reader.pages)
elif file_extension == ".txt":
file_text = file_obj.read().decode('utf-8')
else:
raise ValueError(f"Unsupported file format: {file_extension}")
file_docs = [Document(page_content=file_text, metadata={"source": "uploaded_file"})]
file_splits = text_splitter.split_documents(file_docs)
vector_store.add_documents(file_splits)
return file_text
except Exception as e:
raise RuntimeError(f"Error processing file: {str(e)}")
@app.route('/chat', methods=['POST'])
def chat():
user_message = request.form.get('message', '')
uploaded_file = request.files.get('file')
system_prompt = "You are an AI assistant developed by Holding Khalij Fars, tasked with responding to user queries accurately and helpfully And youre default language for answering is Farsi unless user wnts you to asnwe rin another language."
messages = [{"role": "system", "content": system_prompt}]
model = "qwen/qwen3-32b"
relevant_content = ""
if uploaded_file:
try:
file_text = process_file(uploaded_file)
if file_text:
search_query = user_message
retrieved_docs = vector_store.similarity_search(search_query, k=3)
relevant_content = "\n".join(doc.page_content for doc in retrieved_docs)
if relevant_content:
user_message += f"\nRelevant document content: {relevant_content}"
messages.append({"role": "user", "content": user_message})
except Exception as e:
messages.append({"role": "user", "content": f"Error processing file: {str(e)}. {user_message}"})
else:
messages.append({"role": "user", "content": user_message})
try:
chat_completion = client.chat.completions.create(
messages=messages,
model=model,
)
ai_response = chat_completion.choices[0].message.content
think_parts = re.findall(r'<think>(.*?)</think>', ai_response, re.DOTALL)
thinking = '\n'.join(think_parts).strip() if think_parts else ''
final_response = re.sub(r'<think>.*?</think>', '', ai_response, flags=re.DOTALL).strip()
except Exception as e:
thinking = ''
final_response = ''
return jsonify({'thinking': thinking, 'response': final_response})
if __name__ == '__main__':
app.run(debug=True , port=7860 , host='0.0.0.0') |