add

Dockerfile

@@ -0,0 +1,39 @@
+# Dockerfile for Hugging Face Spaces
+FROM node:18-alpine AS frontend-builder
+
+# Build frontend
+WORKDIR /frontend
+COPY frontend/package*.json ./
+RUN npm install
+COPY frontend/ ./
+RUN npm run build
+
+# Python backend stage
+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy backend requirements and install
+COPY backend/requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy backend application
+COPY backend/app ./app
+COPY backend/models ./models
+
+# Create necessary directories
+RUN mkdir -p ./uploads ./static
+
+# Copy built frontend from builder stage
+COPY --from=frontend-builder /frontend/dist ./static
+
+# Expose port 7860 (required by Hugging Face Spaces)
+EXPOSE 7860
+
+# Run the FastAPI application on port 7860
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,9 +1,10 @@
 ---
-title: Mri App
-emoji: 👀
+title: MRI Brain Tumor Detection
+emoji: 🧠
 colorFrom: blue
-colorTo: indigo
+colorTo: purple
 sdk: docker
+app_port: 7860
 pinned: false
 ---
 
@@ -27,6 +28,10 @@ Deep Learning application for automated brain tumor classification from MRI scan
 
 ## 🚀 Quick Start
 
+### Using the Deployed App
+
+Simply visit the app URL and upload an MRI scan image to get instant predictions.
+
 ### Local Development
 
 1. **Clone the repository**
@@ -72,11 +77,11 @@ npm run dev
 2. Click "Run Diagnosis"
 3. View prediction with confidence score
 
-## 📊 Model Performance
+## 📊 Model Information
 
-- **Accuracy**: [Add your accuracy]
 - **Classes**: 4 (Glioma, Meningioma, Pituitary, No Tumor)
 - **Input Size**: 224x224 RGB images
+- **Architecture**: Custom ResidualInceptionBlock with 50+ layers
 
 ## 🛠️ Technology Stack
 
@@ -92,11 +97,9 @@ MIT License
 
 ## 👨‍💻 Author
 
-Arghadip Biswas
+[Your Name]
 
 ## 🙏 Acknowledgments
 
 - Dataset: [Mention your dataset source]
 - Based on ResidualInceptionBlock architecture
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference