Update README.md

README.md

@@ -50,13 +50,13 @@ Interactive conversations about image content with context retention.
 ## 📸 Demo Screenshots
 
 ### Image Captioning
-![Image Captioning](source/image%20(1).png)
+![Image Captioning](source/image%20(4).png)
 
 ### Visual Question Answering
-![Visual Question Answering](source/image%20(1).png)
+![Visual Question Answering](source/image%20(3).png)
 
 ### Zero-Shot Classification
-![Zero-Shot Classification](source/image%20(1).png)
+![Zero-Shot Classification](source/image%20(2).png)
 
 ### Multimodal Chat
 ![Multimodal Chat](source/image%20(1).png)
@@ -76,7 +76,6 @@ Access at `http://localhost:7860`
 
 ### Deploy to Hugging Face Spaces
 
-#### Method 1: Web Interface
 1. Go to https://huggingface.co/spaces
 2. Click **"Create new Space"**
 3. Fill in:
@@ -91,28 +90,7 @@ Access at `http://localhost:7860`
    - `source/` folder (with screenshots)
 5. Space will auto-deploy in 5-10 minutes
 
-#### Method 2: Git
-```bash
-# Clone your space repository
-git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
-cd YOUR_SPACE_NAME
-
-# Copy your files
-cp app.py requirements.txt README.md ./
-cp -r source ./
-
-# Push to Hugging Face
-git add .
-git commit -m "Initial commit"
-git push
-```
-
-#### Enable GPU (Optional)
-1. Go to **Settings** → **Hardware**
-2. Select **GPU** option
-3. Restart the Space
 
-GPU provides 10-50x faster processing and better user experience.
 
 ## 🛠️ Models Used
 
@@ -222,80 +200,6 @@ building: 0.00%
 - Build on previous responses
 - Keep questions related to the image
 
----
-
-## ⚙️ Advanced Configuration
-
-### Change Models
-Edit `app.py` to use different models:
-
-```python
-# Use larger BLIP model for better quality
-caption_model = BlipForConditionalGeneration.from_pretrained(
-    "Salesforce/blip-image-captioning-large"  # 990MB, better quality
-)
-
-# Use larger CLIP model
-clip_model = CLIPModel.from_pretrained(
-    "openai/clip-vit-large-patch14"  # 1.7GB, more accurate
-)
-```
-
-### Customize Interface Style
-Modify `custom_css` in `app.py`:
-
-```python
-custom_css = """
-#title {
-    background: linear-gradient(90deg, #FF6B6B 0%, #4ECDC4 100%);
-    font-size: 3.5em;
-}
-"""
-```
-
-### Adjust Generation Parameters
-Control model behavior:
-
-```python
-# Generate longer captions
-out = caption_model.generate(**inputs, max_length=100)
-
-# More accurate but slower VQA
-out = vqa_model.generate(**inputs, max_length=50, num_beams=5)
-```
-
-## 🐛 Troubleshooting
-
-### Common Issues
-
-**Models downloading slowly**
-```bash
-# Set cache directory to a location with more space
-export HF_HOME=/path/to/large/storage
-python app.py
-```
-
-**Out of memory error**
-```python
-# Add at the start of app.py
-import torch
-torch.cuda.empty_cache()
-
-# Or force CPU usage
-device = "cpu"
-```
-
-**Port already in use**
-```bash
-# Use different port
-python app.py --server-port 8080
-```
-
-**Space build failing**
-- Check `requirements.txt` for correct package versions
-- Verify all files are uploaded correctly
-- Check build logs in Space settings
-
 ### Getting Help
 - 📖 [Gradio Documentation](https://gradio.app/docs/)
 - 🤗 [Hugging Face Forums](https://discuss.huggingface.co/)
@@ -324,7 +228,6 @@ MIT License - See [LICENSE](LICENSE) file for details.
 - **BLIP**: BSD-3-Clause License
 - **CLIP**: MIT License
 
-All models are free for commercial use.
 
 ## 🙏 Acknowledgments
 
@@ -334,18 +237,5 @@ Built with amazing open-source projects:
 - [Hugging Face Transformers](https://huggingface.co/docs/transformers) - Model hub and inference
 - [Gradio](https://gradio.app/) - Beautiful web interfaces
 
-## 🔗 Links
-
-- **Live Demo**: [Your Space URL]
-- **GitHub Repository**: [Your Repo URL]
-- **Report Issues**: [GitHub Issues]
-
----
-
-<div align="center">
-
-**⭐ If you find this project helpful, please star it! ⭐**
-
-Made with ❤️ by the open-source community
 
-</div>
+---