CodeVed / app.py
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import os
import requests
from bs4 import BeautifulSoup
from flask import Flask, request, Response, stream_with_context, render_template_string
app = Flask(__name__)
# 🔐 100% सुरक्षित: सीक्रेट्स से डेटा लोड
API_KEY = os.environ.get("YOUR_VEDIKA_API_KEY")
BASE_URL = os.environ.get("BASE_URL")
MODEL_ID = os.environ.get("MODEL_ID")
INVOKE_URL = ""
if BASE_URL:
if not BASE_URL.endswith("/chat/completions"):
INVOKE_URL = f"{BASE_URL.rstrip('/')}/chat/completions"
else:
INVOKE_URL = BASE_URL
# 🌐 --- 100% BULLETPROOF WEB SCRAPER --- 🌐
def web_search_scraper(query, num_results=4):
"""
यह कस्टम स्क्रैपर DuckDuckGo के HTML वर्ज़न का उपयोग करता है।
यह Hugging Face पर कभी ब्लॉक नहीं होता और इसके लिए किसी API Key या एक्स्ट्रा पैकेज की जरूरत नहीं है।
"""
url = "https://html.duckduckgo.com/html/"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Content-Type": "application/x-www-form-urlencoded"
}
data = {"q": query} # सर्च क्वेरी को POST डेटा की तरह भेजना
try:
response = requests.post(url, headers=headers, data=data, timeout=10)
soup = BeautifulSoup(response.text, 'html.parser')
results = []
for a in soup.find_all('a', class_='result__snippet'):
snippet = a.text.strip()
link = a.get('href', '')
title_elem = a.find_previous('h2', class_='result__title')
title = title_elem.text.strip() if title_elem else "Search Result"
results.append({
"title": title,
"link": link,
"snippet": snippet
})
if len(results) >= num_results:
break
if not results:
return [{"error": "Search blocked or no results found."}]
return results
except Exception as e:
return [{"error": str(e)}]
# ----------------------------------------------------
@app.route('/')
def home():
try:
with open('index.html', 'r', encoding='utf-8') as f:
html_content = f.read()
return render_template_string(html_content)
except Exception as e:
return f"index.html file missing! Error: {str(e)}"
@app.route('/api/chat', methods=['POST'])
def chat():
if not API_KEY or not INVOKE_URL or not MODEL_ID:
return Response("Server Error: Configuration secrets are missing.", status=500)
data = request.get_json() or {}
user_message = data.get("message", "")
attachments = data.get("attachments", [])
system_prompt = data.get("system_prompt", "")
history = data.get("history", [])
max_tokens = data.get("max_tokens", 4096)
temperature = data.get("temperature", 0.6)
# 🚀 --- INTERCEPT & SEARCH LOGIC --- 🚀
if user_message.strip().lower().startswith("/search "):
search_query = user_message[8:].strip()
# वेब से ताज़ा डेटा स्क्रैप करना
scraped_data = web_search_scraper(search_query)
search_context = f"Real-time Web Search Results for '{search_query}':\n\n"
for idx, res in enumerate(scraped_data):
if "error" in res:
search_context += f"Search Error: {res['error']}\n"
else:
search_context += f"{idx+1}. Title: {res['title']}\nSnippet: {res['snippet']}\nLink: {res['link']}\n\n"
search_context += "\n[INSTRUCTION FOR AI: You are CODE VED. The user has requested a web search. Formulate a comprehensive response using ONLY the real-time search data provided above. Do not mention that you used a scraper. Just answer confidently and cite the links.]"
user_message = f"User Query: {search_query}\n\n[SYSTEM BACKGROUND CONTEXT]\n{search_context}"
# ---------------------------------------
messages = []
if system_prompt.strip():
messages.append({"role": "system", "content": system_prompt})
for msg in history:
role = msg.get("role", "user")
content = msg.get("content", "")
if content:
messages.append({"role": role, "content": content})
content_payload = []
if user_message.strip():
content_payload.append({"type": "text", "text": user_message})
for att in attachments:
att_type = att.get("type")
b64_data = att.get("data")
if att_type == "image":
content_payload.append({"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64_data}"}})
elif att_type in ["audio", "file"]:
content_payload.append({"type": "input_audio", "input_audio": {"data": b64_data, "format": "wav"}})
if not content_payload:
content_payload.append({"type": "text", "text": "Hello"})
messages.append({"role": "user", "content": content_payload})
headers = {
"Authorization": f"Bearer {API_KEY}",
"Accept": "text/event-stream"
}
payload = {
"model": MODEL_ID,
"messages": messages,
"max_tokens": int(max_tokens),
"temperature": float(temperature),
"top_p": 0.70,
"stream": True
}
try:
response = requests.post(INVOKE_URL, headers=headers, json=payload, stream=True)
def generate():
for line in response.iter_lines():
if line:
decoded_line = line.decode("utf-8")
if decoded_line.startswith("data: "):
yield decoded_line + "\n\n"
return Response(stream_with_context(generate()), mimetype='text/event-stream')
except Exception as e:
return Response("Internal Error: Unable to process request securely.", status=500)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860)