Create app.py

app.py

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+from flask import Flask, jsonify, request
+from flask_cors import CORS
+from huggingface_hub import hf_hub_download
+from llama_cpp import Llama
+import os
+
+app = Flask(__name__)
+CORS(app)
+
+# --- 🧠 MODEL SETUP (DeepSeek Coder) ---
+# Hum "TheBloke" ka GGUF version use kar rahe hain jo CPU par chalta hai
+REPO_ID = "TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF"
+FILENAME = "deepseek-coder-6.7b-instruct.Q4_K_M.gguf"
+
+print("📥 Downloading AI Model... (Pehli baar 5 min lagega)")
+
+try:
+    # Model ko Hugging Face se download karke cache mein rakho
+    model_path = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
+    
+    # Model Load karo (Context Window 2048 rakha hai coding ke liye)
+    # n_threads=2 isliye kyunki Free tier mein 2 CPU milte hain
+    llm = Llama(model_path=model_path, n_ctx=2048, n_threads=2)
+    
+    print("✅ DeepSeek Coder Loaded Successfully!")
+except Exception as e:
+    print(f"❌ Error Loading Model: {e}")
+    llm = None
+
+# --- CHAT LOGIC ---
+@app.route('/')
+def home():
+    return "🤖 DEEPSEEK CODER (16GB RAM) IS LIVE ON HUGGING FACE!"
+
+@app.route('/chat', methods=['POST'])
+def chat():
+    if not llm:
+        return jsonify({"error": "Model abhi load ho raha hai, 1 min ruk kar try karo."})
+
+    data = request.json
+    user_msg = data.get('message', '')
+
+    # Prompt format for DeepSeek Instruct
+    # Is format se AI ko pata chalta hai ki ye Instruction hai
+    prompt = f"""### Instruction:
+You are an expert programmer. Write code or answer the following question:
+{user_msg}
+
+### Response:"""
+
+    try:
+        # AI Soch raha hai...
+        output = llm(
+            prompt, 
+            max_tokens=512,  # Kitna lamba code likhe
+            temperature=0.2, # 0.2 matlab accurate code (Creative nahi)
+            stop=["### Instruction:"] # Yahan ruk jana
+        )
+        
+        reply = output['choices'][0]['text']
+        
+        return jsonify({"reply": reply})
+
+    except Exception as e:
+        return jsonify({"error": str(e)})
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860)
+