Create app.py

app.py

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+import requests
+import json
+import random
+from gradio_client import Client
+from dotenv import load_dotenv
+import os
+
+# Load environment variables
+load_dotenv()
+
+# إعدادات API
+API_URL = "https://api.deepseek.com/v1/chat/completions"
+API_KEY = os.getenv("DEEPSEEK_API_KEY")
+HF_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
+
+# إعداد TTS
+TTS_MODEL = os.getenv("TTS_MODEL", "KindSynapse/Youssef-Ahmed-Private-Text-To-Speech-Unlimited")
+TTS_CLIENT = Client(TTS_MODEL, hf_token=HF_TOKEN)
+TTS_PASSWORD = os.getenv("TTS_PASSWORD")
+TTS_VOICE = os.getenv("TTS_VOICE", "coral")
+TTS_SEED = int(os.getenv("TTS_SEED", "12345"))
+
+# التحقق من وجود المتغيرات المطلوبة
+required_env_vars = {
+    "DEEPSEEK_API_KEY": API_KEY,
+    "HUGGINGFACE_TOKEN": HF_TOKEN,
+    "TTS_PASSWORD": TTS_PASSWORD
+}
+
+for var_name, var_value in required_env_vars.items():
+    if not var_value:
+        raise ValueError(f"Missing required environment variable: {var_name}")
+
+# البرومبت الرئيسي للشات بوت
+MAIN_SYSTEM_PROMPT = {
+    "role": "system",
+    "content": (
+        "You are Sam, a friendly and encouraging English conversation tutor. "
+        "Your responses must be in JSON with these keys: "
+        "'response': Your main response to the user, "
+        "'corrections': Grammar or pronunciation corrections if needed, "
+        "'vocabulary': Suggested alternative words or phrases, "
+        "'level': Assessment of user's English level (beginner/intermediate/advanced), "
+        "'encouragement': A motivating comment. "
+        "\n\nGuidelines:"
+        "\n1. Adapt your language to their level"
+        "\n2. Keep conversations natural and engaging"
+        "\n3. Focus on their interests and context"
+        "\n4. Be patient and supportive"
+        "\n5. Provide gentle corrections"
+        "\n6. Suggest vocabulary improvements naturally"
+        "\n7. Keep responses clear and structured"
+    )
+}
+
+# برومبت خاص بالترحيب (مختصر)
+WELCOME_SYSTEM_PROMPT = {
+    "role": "system",
+    "content": (
+        "You are Sam, a friendly English tutor. Create a short, warm welcome message (2-3 sentences max) that: "
+        "1) Introduces yourself briefly "
+        "2) Asks for the user's name and what they'd like to practice. "
+        "Make it casual and friendly. Return ONLY the greeting in JSON format with a single key 'greeting'."
+        "Example: {'greeting': 'Hi! I'm Sam, your English buddy. What's your name and what would you like to practice today? 😊'}"
+    )
+}
+
+class EnglishTutor:
+    def __init__(self):
+        self.chat_history = []
+        self.user_info = {
+            "name": None,
+            "level": None,
+            "interests": None,
+            "goals": None
+        }
+    
+    def get_welcome_message(self):
+        """توليد رسالة ترحيب فريدة"""
+        response = requests.post(
+            API_URL,
+            headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
+            json={
+                "model": "deepseek-chat",
+                "messages": [WELCOME_SYSTEM_PROMPT],
+                "temperature": random.uniform(0.9, 1),  # خفضنا التنوع قليلاً للرسائل القصيرة
+                "response_format": {"type": "json_object"}
+            }
+        )
+        welcome_json = json.loads(response.json()["choices"][0]["message"]["content"])
+        self.chat_history = [MAIN_SYSTEM_PROMPT]  # بدء المحادثة بالبرومبت الرئيسي
+        return welcome_json["greeting"]
+
+    def get_bot_response(self, user_message):
+        """معالجة رسالة المستخدم والحصول على رد"""
+        self.chat_history.append({"role": "user", "content": user_message})
+        
+        response = requests.post(
+            API_URL,
+            headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
+            json={
+                "model": "deepseek-chat",
+                "messages": self.chat_history,
+                "temperature": random.uniform(0.9, 1.0),
+                "response_format": {"type": "json_object"}
+            }
+        )
+        
+        bot_message = response.json()["choices"][0]["message"]["content"]
+        bot_json = json.loads(bot_message)
+        
+        # تحديث معلومات المستخدم إذا وجدت
+        if "level" in bot_json:
+            self.user_info["level"] = bot_json["level"]
+        
+        self.chat_history.append({"role": "assistant", "content": bot_message})
+        return bot_json
+
+    def text_to_speech(self, text):
+        """تحويل نص إلى صوت مع مراعاة المبتدئين في اللغة الإنجليزية"""
+        # تنظيف النص من أي علامات إضافية أو نصوص زائدة
+        text = text.strip()
+        if text.startswith('"') and text.endswith('"'):
+            text = text[1:-1]
+            
+        tts_prompt = {text}
+        tts_emotion = "Warm, encouraging, and clear with a friendly and supportive tone."
+
+        return TTS_CLIENT.predict(
+            password=TTS_PASSWORD,
+            prompt=tts_prompt,
+            voice=TTS_VOICE,
+            emotion=tts_emotion,
+            use_random_seed=True,
+            specific_seed=TTS_SEED,
+            api_name="/text_to_speech_app"
+        )
+
+# مثال على الاستخدام
+if __name__ == "__main__":
+    tutor = EnglishTutor()
+    
+    # الترحيب
+    welcome = tutor.get_welcome_message()
+    print("\n🤖 Sam:", welcome)
+    welcome_audio = tutor.text_to_speech(welcome)
+    print("Audio response saved to:", welcome_audio)
+    
+    # المحادثة
+    while True:
+        user_input = input("\n👤 You: ")
+        if user_input.lower() in ['exit', 'quit', 'bye']:
+            print("\n🤖 Sam: Goodbye! Keep practicing your English! 👋")
+            break
+            
+        response = tutor.get_bot_response(user_input)
+        main_response = response["response"].strip()
+        print("\n🤖 Sam:", main_response)
+        if response["corrections"]:
+            print("✍️ Corrections:", response["corrections"])
+        if response["vocabulary"]:
+            print("📚 Vocabulary:", response["vocabulary"])
+        if response["encouragement"]:
+            print("🌟 Encouragement:", response["encouragement"])
+        
+        # تحويل الرد إلى صوت - نستخدم فقط الرد الرئيسي
+        audio_file = tutor.text_to_speech(main_response)
+        print("Audio response saved to:", audio_file)