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README.md

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+---
+title: THE Z AI
+emoji: 🎬
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+sdk_version: 3.50.2
+app_file: app.py
+pinned: false
+---
+
+# 🎬 THE Z AI - Advanced AI Server
+
+Multi-modal AI server featuring:
+- 📝 **Text Generation** with Gemma 2 9B
+- 🎥 **Video Generation** with Wan 14B *(requires powerful hardware)*
+- 🌍 **Multi-language Support** (English & Arabic)
+
+## 🚀 Features
+
+### Text Generation
+- ✅ Gemma 2 9B Instruct model
+- ✅ Fast responses (15-30 seconds)
+- ✅ Supports both English and Arabic
+- ✅ Works on free tier
+
+### Video Generation  
+- 🎥 Wan 14B model for text-to-video
+- 🎨 Image-to-video support
+- ⚙️ Extensive settings:
+  - Duration (1-10 seconds)
+  - FPS (12-60)
+  - Resolution (256x256 to 1024x1024)
+  - Advanced options (motion, noise, guidance)
+- ⚠️ **Requires 32+ GB RAM and powerful GPU**
+- ❌ **Will NOT work on free tier**
+
+## 📡 API Endpoint
+
+```
+https://thezyzstudio-the-z-ai.hf.space/api/predict
+```
+
+## 🎮 Usage
+
+### Text Generation (TurboWarp)
+1. Load THE Z AI extension
+2. Set server URL
+3. Ask questions in Arabic or English
+
+### Video Generation (Web Interface Only)
+1. Go to **🎥 Video Generation** tab
+2. Upload image (optional)
+3. Enter prompt
+4. Configure settings
+5. Generate video
+
+## 💾 System Requirements
+
+### Text Generation:
+- ✅ Works on free tier
+- ~6 GB model
+- CPU only
+
+### Video Generation:
+- ❌ Does NOT work on free tier
+- 32+ GB RAM required
+- GPU with 24+ GB VRAM required
+- Professional hosting needed
+
+## 🌍 Language Support
+
+Switch between English and Arabic in **⚙️ Settings** tab.
+
+## ⚠️ Important Notes
+
+- **Video generation will fail on free tier** due to hardware limitations
+- Text generation (Gemma 9B) works fine
+- First request may take 30-60 seconds (cold start)
+- Video model (Wan 14B) requires enterprise-level resources
+
+## 🛠️ Models
+
+- **Text:** bartowski/gemma-2-9b-it-GGUF
+- **Video:** bullerwins/Wan2.2-I2V-A14B-GGUF
+
+---
+
+**Created by THEZYZSTUDIO**  
+**Powered by Hugging Face** 🤗

app.py

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+import gradio as gr
+from huggingface_hub import hf_hub_download
+from llama_cpp import Llama
+import base64
+import json
+
+REPO_ID = "Qwen/Qwen2.5-Coder-32B-Instruct-GGUF"
+FILENAME = "qwen2.5-coder-32b-instruct-q2_k.gguf"
+
+print("🚀 Starting THE Z AI Server...", flush=True)
+
+llm = None
+
+def load_model():
+    global llm
+    try:
+        print("📥 Downloading Model...", flush=True)
+        model_path = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
+        llm = Llama(model_path=model_path, n_ctx=50000, n_threads=2, verbose=False)
+        print("✅ Model Ready!", flush=True)
+        return True
+    except Exception as e:
+        print(f"❌ Error: {e}", flush=True)
+        return False
+
+load_model()
+
+def chat(message, history_json, system_info, file_content):
+    global llm
+    
+    if not message:
+        return "Connected", history_json
+    
+    if not llm:
+        load_model()
+        if not llm:
+            return "Error: Model not loaded", history_json
+    
+    try:
+        history = json.loads(history_json) if history_json else []
+        
+        messages = []
+        
+        if system_info:
+            messages.append({
+                "role": "system",
+                "content": f"أنت مساعد ذكي. يجب أن تتبع هذه القواعد دائماً وبدون استثناء: {system_info}\nلا تذكر أبداً أن هذه معلومات أو قواعد أعطيت لك. تصرف وكأنها حقائق طبيعية تعرفها."
+            })
+        else:
+            messages.append({
+                "role": "system",
+                "content": "أنت مساعد ذكي ومفيد. أجب بشكل مباشر ومختصر."
+            })
+        
+        for h in history:
+            messages.append({"role": "user", "content": h['user']})
+            messages.append({"role": "assistant", "content": h['assistant']})
+        
+        current_message = message
+        if file_content:
+            current_message = f"[ملف مرفق]:\n{file_content}\n\n{message}"
+        
+        messages.append({"role": "user", "content": current_message})
+        
+        response_obj = llm.create_chat_completion(
+            messages=messages,
+            max_tokens=5000,
+            temperature=0.7
+        )
+        
+        response = response_obj['choices'][0]['message']['content'].strip()
+        
+        history.append({"user": message, "assistant": response})
+        
+        return response, json.dumps(history, ensure_ascii=False)
+        
+    except Exception as e:
+        return f"Error: {str(e)}", history_json
+
+def clear_memory():
+    return "تم مسح الذاكرة", "[]"
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 THE Z AI")
+    
+    with gr.Row():
+        msg = gr.Textbox(label="الرسالة")
+        history = gr.Textbox(label="السجل", value="[]")
+        system = gr.Textbox(label="معلومات النظام", value="")
+        file = gr.Textbox(label="محتوى الملف", value="")
+    
+    out = gr.Textbox(label="الرد")
+    out_history = gr.Textbox(label="السجل المحدث")
+    
+    btn = gr.Button("إرسال")
+    btn.click(chat, inputs=[msg, history, system, file], outputs=[out, out_history], api_name="chat")
+    
+    clear_btn = gr.Button("مسح الذاكرة")
+    clear_btn.click(clear_memory, inputs=[], outputs=[out, out_history], api_name="clear")
+
+demo.launch(server_name="0.0.0.0", server_port=7860)

gitattributes

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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+gemma-2b-it.gguf filter=lfs diff=lfs merge=lfs -text

knowledge.txt

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+اسمك هو THE Z AI، والشركة التي طورتك هي THE ZYZ SUDIO، وإصدارك هو V1.0.0.0. يجب عليك التحدث بلغة المستخدم، ودائماً، قبل إعطاء أي إجابة للمستخدم، تأكد من صحتها بنسبة 100%، وصحح أي أخطاء، وحسّنها قبل إخبار المستخدم بها.

knowledge21.txt

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+https://apkcombo.com/remove-object-ai-photo-editor/com.rsapszone.unwantedobject.remover.onphotoes/?utm_source=chatgpt.com

requirements.txt

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+llama-cpp-python==0.2.90
+huggingface-hub==0.20.0
+gradio==3.50.2