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Update app.py
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app.py
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import os
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import requests
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import urllib.parse
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from bs4 import BeautifulSoup
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from datetime import datetime, timedelta, timezone
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from flask import Flask, request, Response, stream_with_context, render_template_string
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app = Flask(__name__)
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# 🔐 --- SECURE ENVIRONMENT VARIABLES ---
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# यह आपके Hugging Face Secrets से अपने आप लोड हो जाएगा
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API_KEY = os.environ.get("NVIDIA_API_KEY") or os.environ.get("YOUR_VEDIKA_API_KEY")
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MODEL_ID = os.environ.get("MODEL_ID")
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# NVIDIA का डायरेक्ट URL (BASE_URL का लॉजिक पूरी तरह हटा दिया गया है)
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INVOKE_URL = "https://integrate.api.nvidia.com/v1/chat/completions"
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# 🌐 --- BULLETPROOF SCRAPER (News + Wiki) ---
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def web_search_scraper(query, num_results=4):
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results = []
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
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# 1. Google News RSS (Never blocks, gives real latest news)
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try:
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rss_url = f"https://news.google.com/rss/search?q={urllib.parse.quote(query)}&hl=en-IN&gl=IN&ceid=IN:en"
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res = requests.get(rss_url, headers=headers, timeout=5)
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soup = BeautifulSoup(res.content, 'xml') # Use XML parser
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items = soup.find_all('item')
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for item in items[:num_results]:
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title = item.title.text if item.title else ""
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link = item.link.text if item.link else ""
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pub_date = item.pubDate.text if item.pubDate else ""
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if title:
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results.append({
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"title": title,
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"link": link,
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"snippet": f"Published: {pub_date}"
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})
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except Exception as e:
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pass
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# 2. Wikipedia API Fallback (Never blocks)
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if len(results) < 2:
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try:
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wiki_url = f"https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch={urllib.parse.quote(query)}&utf8=&format=json"
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res = requests.get(wiki_url, headers=headers, timeout=5).json()
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for item in res.get('query', {}).get('search', [])[:num_results]:
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clean_snippet = BeautifulSoup(item['snippet'], "html.parser").text
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results.append({
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"title": item['title'],
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"link": f"https://en.wikipedia.org/wiki/{urllib.parse.quote(item['title'])}",
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"snippet": clean_snippet
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})
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except Exception as e:
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pass
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return results
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# ----------------------------------------------------
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@app.route('/')
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def home():
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try:
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with open('index.html', 'r', encoding='utf-8') as f:
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return render_template_string(f.read())
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except Exception as e:
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return f"<h1>System Error</h1><p>index.html missing: {str(e)}</p>"
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@app.route('/api/chat', methods=['POST'])
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def chat():
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if not API_KEY or not INVOKE_URL or not MODEL_ID:
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return Response("Server Error: Secrets missing.", status=500)
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data = request.get_json() or {}
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user_message = data.get("message", "")
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attachments = data.get("attachments", [])
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is_search = data.get("is_search", False)
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history = data.get("history", [])
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max_tokens = data.get("max_tokens", 4096)
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temperature = data.get("temperature", 1.00) # Updated to NVIDIA default if not passed
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# 🕒 --- REAL-TIME IST INJECTION ---
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ist_time = datetime.now(timezone.utc) + timedelta(hours=5, minutes=30)
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current_date = ist_time.strftime("%A, %d %B %Y, %I:%M %p IST")
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# 🧠 --- STRICT SYSTEM PROMPT (ANTI-HALLUCINATION) ---
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system_prompt = f"""
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You are CODE VED, an advanced AI System engineered EXCLUSIVELY by DIVY PATEL.
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Current Date: {current_date}.
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STRICT DIRECTIVES:
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1. NEVER invent, guess, or hallucinate product launches, dates, news, or facts.
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2. If you are provided with live search data, base your answer PURELY on that data.
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3. If you lack data to answer a question about a recent event, you MUST say: "I do not have the verified live data for this right now."
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"""
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# 🚀 --- AUTO-SEARCH LOGIC WITH FAILSAFE ---
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if is_search:
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scraped_data = web_search_scraper(user_message)
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if scraped_data:
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search_context = "\n\n--- [LIVE VERIFIED WEB DATA] ---\n"
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for idx, res in enumerate(scraped_data):
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search_context += f"{idx+1}. TITLE: {res['title']}\nSNIPPET: {res['snippet']}\nURL: {res['link']}\n\n"
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search_context += "[SYSTEM: Use the above verified data to answer. Cite sources.]"
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else:
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search_context = """
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\n\n[CRITICAL SYSTEM ALERT: LIVE SEARCH FAILED OR BLOCKED.
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YOU HAVE NO NEW DATA FOR THIS QUERY.
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MANDATORY RULE: DO NOT INVENT ANY NEWS OR DATES. TELL THE USER HONESTLY THAT YOU COULD NOT FETCH THE LATEST LIVE DATA.]
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"""
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user_message = f"{search_context}\n\nUSER QUERY: {user_message}"
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messages = [{"role": "system", "content": system_prompt}]
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for msg in history:
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role = msg.get("role", "user")
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content = msg.get("content", "")
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if content:
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messages.append({"role": role, "content": content})
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content_payload = []
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if user_message.strip():
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content_payload.append({"type": "text", "text": user_message})
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for att in attachments:
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att_type = att.get("type")
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b64_data = att.get("data")
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if att_type == "image":
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# Image formatting compatible with standard APIs
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content_payload.append({"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64_data}"}})
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elif att_type in ["audio", "file"]:
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content_payload.append({"type": "input_audio", "input_audio": {"data": b64_data, "format": "wav"}})
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if not content_payload:
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content_payload.append({"type": "text", "text": "Hello"})
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messages.append({"role": "user", "content": content_payload})
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Accept": "text/event-stream"
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}
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# 🌟 --- NEW NVIDIA FORMAT PAYLOAD INTEGRATED HERE --- 🌟
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payload = {
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"model": MODEL_ID, # Dynamically fetching from your secrets
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"messages": messages,
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"max_tokens": int(max_tokens),
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"temperature": float(temperature),
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"top_p": 0.95, # As per your format
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"stream": True, # Stream is kept True for fast UI response
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"chat_template_kwargs": {"enable_thinking": True} # 👈 New NVIDIA feature added
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}
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try:
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response = requests.post(INVOKE_URL, headers=headers, json=payload, stream=True)
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def generate():
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for line in response.iter_lines():
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if line:
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decoded_line = line.decode("utf-8")
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if decoded_line.startswith("data: "):
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yield decoded_line + "\n\n"
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return Response(stream_with_context(generate()), mimetype='text/event-stream')
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except Exception as e:
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return Response(f"Internal Error: {str(e)}", status=500)
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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