Upload README.md

README.md

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+---
+title: Multi-Modal AI Demo
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 3.50.2
+app_file: app.py
+pinned: false
+---
+
+# Multi-Modal AI Demo
+
+This project demonstrates the use of multi-modal AI capabilities using Hugging Face pretrained models. The application provides the following features:
+
+1. **Image Captioning**: Generate descriptive captions for images
+2. **Visual Question Answering**: Answer questions about the content of images
+3. **Sentiment Analysis**: Analyze the sentiment of text inputs
+
+## Requirements
+
+- Python 3.8+
+- Dependencies listed in `requirements.txt`
+
+## Installation
+
+1. Clone this repository
+2. Install dependencies and setup the application:
+   ```
+   python run.py
+   ```
+   Then select option 5 to perform full setup (install requirements, fix dependencies, and download sample images)
+
+## Known Issues and Solutions
+
+If you encounter errors related to package compatibility (Pydantic, FastAPI, or Gradio errors), use:
+```
+python fix_dependencies.py
+```
+This will install compatible versions of all dependencies to ensure the application runs correctly.
+
+## Usage
+
+Run the web interface:
+```
+python app.py
+```
+
+Then open your browser and navigate to the URL shown in the terminal (typically http://127.0.0.1:7860).
+
+
+## Models Used
+
+This demo uses the following pretrained models from Hugging Face:
+- Image Captioning: `nlpconnect/vit-gpt2-image-captioning`
+- Visual Question Answering: `nlpconnect/vit-gpt2-image-captioning` (simplified)
+- Sentiment Analysis: `distilbert-base-uncased-finetuned-sst-2-english`
+