Update README.md

README.md

@@ -4,7 +4,7 @@ author: MrTanTan & swkasula
 colorFrom: yellow
 colorTo: purple
 sdk: gradio
-sdk_version: 5.33.0
+sdk_version: 5.33.1
 app_file: app.py
 pinned: false
 short_description: A agent with memory tools. Upload and query away!
@@ -20,13 +20,21 @@ license: mit
 
 Authors: [MrTanTan](https://huggingface.co/MrTanTan) && [swkasula](https://huggingface.co/MrTanTan)
 
-Here is the main project: [YouTwo](https://github.com/TanGentleman/YouTwo)
-- Our website: https://you-two-delta.vercel.app/
-- This app is also deployed using modal [here](https://tangentleman--youtwo-gradio-gradio-app.modal.run/).
+Video submission:https://youtu.be/HTngofSD8zE
 
+Full-featured project repository: https://github.com/TanGentleman/YouTwo
+- Our website: https://you-two-delta.vercel.app/
+- This app is also deployed using modal: https://tangentleman--youtwo-gradio-gradio-app.modal.run/
 
-This app uses [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
+This project is made with the help of:
+- [Gradio](https://gradio.app)
+- [Hugging Face](https://huggingface.co)
+- [Modal](https://modal.com)
+- [Vectara](https://vectara.com)
+- [Nebius](https://nebius.com)
+- [Convex](https://convex.dev)
+- And open-source contributions from the community!
 
 # Add environment variables to your .env file
 ```bash
@@ -63,23 +71,17 @@ This repository contains the YouTwo Agent, a conversational AI agent powered by
 pip install modal
 ```
 
-2. Authenticate with Modal:
+2. Set the following secrets on Modal:
 ```bash
-modal token new
+modal secret create nebius NEBIUS_API_KEY=your_nebius_api_key
+modal secret create vectara VECTARA_API_KEY=your_vectara_api_key
 ```
 
-3. Create the following secrets and volumes on Modal:
-   - Secret: `youtwo-secrets` with the following values:
-     - `NEBIUS_API_KEY` - Your Nebius API key for the LLM
-     - `VECTARA_API_KEY` - Your Vectara API key for RAG
-   - Volume: `youtwo-volume` - For storing any persistent data
-
 ## Project Structure
-
-- `modal_app.py`: The main Modal deployment file
-- `agent.py`: Core agent logic
-- `rag.py`: Retrieval-augmented generation module
-- `schemas.py`: Data schemas for the app
+- `run_modal_app.py`: The main Modal deployment file
+- `yt_agent`: Core agent logic
+- `yt_rag`: Retrieval-augmented generation module
+- `yt_gradio_app`: Gradio blocks for the project
 
 ## Deployment Instructions
 
@@ -88,7 +90,7 @@ modal token new
 To run the app locally during development:
 
 ```bash
-modal serve modal_app.py
+modal serve run_modal_app.py
 ```
 
 This will provide you with a URL to access your app during development.
@@ -98,7 +100,7 @@ This will provide you with a URL to access your app during development.
 To deploy the app to Modal for production:
 
 ```bash
-modal deploy modal_app.py
+modal deploy run_modal_app.py
 ```
 
 After deployment, you'll receive a URL where your application is accessible.
@@ -112,10 +114,6 @@ The application requires the following environment variables:
 
 These should be set up as secrets in Modal.
 
-## Troubleshooting
-
-- **Issue:** "WebRTC peer connection failed"
-  - **Solution:** Ensure your browser has permission to access your microphone and that you're using HTTPS or localhost.
+## License
 
-- **Issue:** "Modal volume not accessible"
-  - **Solution:** Verify that you've created the `youtwo-volume` volume in Modal.
+This project is licensed under the MIT License. Have fun!