Updated

Dockerfile

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+# ==============================================================
+# Tech Disciples AI Backend — Dockerfile
+# ==============================================================
+
+# Use lightweight official Python image
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    APP_HOME=/app
+
+# Set work directory
+WORKDIR $APP_HOME
+
+# System dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirement file first (for caching)
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application files
+COPY . .
+
+# Expose port for FastAPI
+EXPOSE 8000
+
+# Run the FastAPI app with Uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

app.py

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+# ==============================================================
+# Tech Disciples AI Backend — Optimized Stable Release
+# ==============================================================
+
+import os
+import logging
+import torch
+from fastapi import FastAPI, Request, Header, HTTPException
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+from transformers import pipeline
+
+# ==============================================================
+# Logging Setup
+# ==============================================================
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+logger = logging.getLogger("Tech Disciples AI")
+
+# ==============================================================
+# FastAPI App Initialization
+# ==============================================================
+app = FastAPI(title="Tech Disciples AI")
+
+@app.get("/")
+async def root():
+    return {"status": "Tech Disciples AI Backend is running and stable."}
+
+# ==============================================================
+# Authentication Configuration
+# ==============================================================
+PROJECT_API_KEY = os.getenv("PROJECT_API_KEY", "techdisciplesai404")
+
+def check_auth(authorization: str | None):
+    """Validates Bearer token for authorized access."""
+    if not PROJECT_API_KEY:
+        return
+    if not authorization or not authorization.startswith("Bearer "):
+        raise HTTPException(status_code=401, detail="Missing bearer token")
+    token = authorization.split(" ", 1)[1]
+    if token != PROJECT_API_KEY:
+        raise HTTPException(status_code=403, detail="Invalid token")
+
+# ==============================================================
+# Global Exception Handler
+# ==============================================================
+@app.exception_handler(Exception)
+async def global_exception_handler(request: Request, exc: Exception):
+    logger.error(f"Unhandled error: {exc}")
+    return JSONResponse(status_code=500, content={"error": str(exc)})
+
+# ==============================================================
+# Request Models
+# ==============================================================
+class ChatRequest(BaseModel):
+    query: str
+
+# ==============================================================
+# Hugging Face Configuration
+# ==============================================================
+HF_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
+
+if not HF_TOKEN:
+    logger.warning("⚠️ No Hugging Face token found. Some gated models may fail to load.")
+else:
+    logger.info("✅ Hugging Face token detected.")
+
+# Device selection
+device = 0 if torch.cuda.is_available() else -1
+logger.info(f"🧠 Using device: {'GPU' if device == 0 else 'CPU'}")
+
+# ==============================================================
+# Model Pipeline Initialization
+# ==============================================================
+try:
+    chat_pipe = pipeline(
+        "text-generation",
+        model="mradermacher/Baptist-Christian-Bible-Expert-v2.0-12B-i1-GGUF",
+        token=HF_TOKEN,
+        device=device,
+    )
+    logger.info("✅ Conversational model successfully loaded.")
+except Exception as e:
+    chat_pipe = None
+    logger.error(f"❌ Failed to load model pipeline: {e}")
+
+# ==============================================================
+# Helper Functions
+# ==============================================================
+def run_conversational(pipe, prompt: str) -> str:
+    """Executes text generation safely and returns formatted output."""
+    if not pipe:
+        return "⚠️ Model pipeline not initialized."
+
+    try:
+        output = pipe(prompt, max_new_tokens=200, temperature=0.3, do_sample=True)
+        if isinstance(output, list) and output:
+            return output[0].get("generated_text", str(output))
+        return str(output)
+    except Exception as e:
+        logger.error(f"Conversational pipeline error: {e}")
+        return f"⚠️ Model error: {e}"
+
+# ==============================================================
+# API Endpoints
+# ==============================================================
+@app.post("/ai-chat")
+async def ai_chat(req: ChatRequest, authorization: str | None = Header(None)):
+    """Handles conversational AI chat requests."""
+    check_auth(authorization)
+    reply = run_conversational(chat_pipe, req.query)
+    return {"reply": reply}
+
+# ==============================================================
+# END OF FILE
+# ==============================================================

requirements.txt

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+fastapi
+uvicorn[standard]
+torch
+transformers