Update Space metadata for proper ZeroGPU configuration

README.md

@@ -4,11 +4,12 @@ emoji: 🤖
 colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: 5.8.0
+sdk_version: 4.0.0
 app_file: app.py
 pinned: false
 hf_oauth: false
 hardware: a10g-small
+inference: true
 ---
 
 # Code Review Assistant
@@ -21,13 +22,12 @@ An automated code review system powered by Gemma-2b that provides intelligent co
 - Analyzes code quality and suggests improvements
 - Identifies potential bugs and security issues
 - Recommends best practices and optimizations
-- Supports multiple programming languages (Python, JavaScript, Java, C++, TypeScript, Go, Rust)
+- Supports multiple programming languages
 
 ### LLMOps Integration
 - Uses Gemma-2b for intelligent code analysis
 - Tracks model performance and accuracy
 - Monitors response times and token usage
-- Optimized with ZeroGPU for efficient inference
 
 ### Performance Monitoring
 - Real-time metrics dashboard
@@ -48,32 +48,6 @@ The following environment variables need to be set in your Hugging Face Space:
 - `HUGGING_FACE_TOKEN`: Your Hugging Face API token (required)
 - `MODEL_NAME`: google/gemma-2b-it (default)
 
-## Hardware Configuration
-
-This Space uses:
-- Runtime: ZeroGPU
-- Hardware: A10G Small
-- Memory: Optimized for efficient model inference
-
-## Usage
-
-1. Enter your code in the text box
-2. Select the programming language from the dropdown
-3. Click "Submit for Review"
-4. View the detailed analysis including:
-   - Critical issues
-   - Suggested improvements
-   - Best practices
-   - Security considerations
-
-## Model Details
-
-This application uses the Gemma-2b-it model from Google, which is:
-- Optimized for instruction following
-- Capable of detailed code analysis
-- Efficient for deployment
-- Suitable for code review tasks
-
 ## License
 
-This project is licensed under the MIT License.
+This project is licensed under the MIT License.