Update main.py

main.py

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+import os
+from fastapi import FastAPI, UploadFile, File, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from groq import Groq
+
+app = FastAPI(title="BSTP-Cameroun")
+
+# Configuration CORS pour permettre à ton application Vue.js de communiquer librement avec l'API
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+if not GROQ_API_KEY:
+    print("⚠️ Attention: GROQ_API_KEY n'est pas configurée dans les secrets.")
+groq_client = Groq(api_key=GROQ_API_KEY) if GROQ_API_KEY else None
+# Prompt système bilingue, adaptatif et optimisé pour les fins de phrases
+SYSTEM_PROMPT = (
+    "You are SafeBot, a specialized emergency cyber-psychologist and crisis counseling expert "
+    "for the SafeChild platform in Cameroon. Your primary directive is to offer immediate, warm, "
+    "deeply empathetic, and calming psychological first aid to parents, families, or children "
+    "experiencing severe distress, abuse, cyberbullying, or child disappearance.\n\n"
+    "CRITICAL BEHAVIORAL MANDATES:\n"
+    "1. LANGUAGE MATCHING: Cameroon is bilingual. Accurately detect the user's language (French or English). "
+    "You MUST reply exclusively and flawlessly in the EXACT same language used by the user. Never mix languages.\n"
+    "2. PSYCHOLOGICAL POSTURE: Use validating, active listening, and non-judgmental language. De-escalate "
+    "panic immediately. Your tone is supportive, warm, yet highly clear and structured.\n"
+    "3. CAMEROON PROTECTION & SIGNALING PROTOCOL: When a critical abuse, violence, or child abduction case is reported, "
+    "you must provide immediate safety actions and actively guide the user to official Cameroonian entities and local NGO networks:\n"
+    "   - State Institutions: MINPROFF (Ministère de la Promotion de la Femme et de la Famille), MINAS (Ministère des Affaires Sociales), "
+    "or dedicated security units like the Judicial Police (Police Judiciaire) and Gendarmerie Territorial Brigades.\n"
+    "   - Key NGOs & Support: UNICEF Cameroon, ALVF (Association de Lutte contre les Violences faites aux Femmes) which is highly active in local protection, "
+    "and community legal assistance networks.\n"
+    "4. CAMEROON CRITICAL EMERGENCY NUMBERS: Always prominently display these specific lines when a situation requires intervention:\n"
+    "   - Police Secours / Emergency: 117 (or 1500 for the Gendarmerie Nationale hotline)\n"
+    "   - Child Protection Hotline (Ligne Verte): 116 (dedicated number for reporting child abuse/rights violations)\n"
+    "   - Violence Against Women & Families Hotline: 8142 (MINPROFF dedicated toll-free line)\n"
+    "   - Fire & Emergency Rescue (Sapeurs-Pompiers): 118\n"
+    "5. NO FORMAL DIAGNOSIS: Do not state formal clinical or legal judgments. Position yourself as an urgent "
+    "psychological compass designed to protect the child and guide the family toward specialized real-world Cameroonian infrastructure.\n"
+    "6. MESSAGE CLOSING RULE: Never end your messages with repetitive or robotic questions like 'How can I help you today?'. "
+    "Instead, close your answers naturally and warmly. "
+    "If the user is text-chatting, use smooth closing sentences like: 'Si vous avez d'autres questions ou si vous souhaitez approfondir un point, n'hésitez pas, je suis là.' "
+    "If the user is speaking in English, use: 'If you have any other questions, please do not hesitate to ask, I am right here for you.'"
+)
+
+class TextRequest(BaseModel):
+    text: str
+
+@app.get("/")
+def read_root():
+    return {"status": "operational", "service": "SafeChild SafeBot AI Engine - Groq Dedicated (Cameroon Bilingual)"}
+@app.post("/api/chat")
+async def chat_text(request: TextRequest):
+    if not groq_client:
+        raise HTTPException(status_code=500, detail="Le moteur d'IA Groq n'est pas configuré.")
+    
+    try:
+        completion = groq_client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "user", "content": request.text}
+            ],
+            temperature=0.5,
+            max_tokens=1024
+        )
+        return {"ai_response": completion.choices[0].message.content}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Erreur d'inférence Groq : {str(e)}")
+
+# =========================================================
+# ROUTE 2 : REQUÊTE AUDIO (Whisper Large V3 -> Llama 3.3 70B)
+# =========================================================
+@app.post("/api/voice")
+async def chat_voice(file: UploadFile = File(...)):
+    if not groq_client:
+        raise HTTPException(status_code=500, detail="Le moteur d'IA Groq n'est pas configuré.")
+    
+    try:
+        # Étape A : Transcription de la note vocale (Français / Anglais du Cameroun détectés automatiquement)
+        transcription = groq_client.audio.transcriptions.create(
+            file=(file.filename, await file.read()),
+            model="whisper-large-v3",
+            response_format="json"
+        )
+        
+        user_text = transcription.text
+        
+        if not user_text or not user_text.strip():
+            return {
+                "user_said": "", 
+                "ai_response": "Je n'ai pas pu décoder de voix distincte sur cet enregistrement. Pouvez-vous réessayer ? / I could not clearly understand the audio. Could you please try again?"
+            }
+        completion = groq_client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "user", "content": user_text}
+            ],
+            temperature=0.5,
+            max_tokens=1024
+        )
+        
+        return {
+            "user_said": user_text,
+            "ai_response": completion.choices[0].message.content
+        }
+        
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Erreur du pipeline vocal Groq : {str(e)}")