Update README.md

README.md

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+Here’s the updated `README.md` without the "How to Run Locally" part:
+
+---
+
+# Chat With Documents 🤖📄
+
+Welcome to the **Chat with Documents** app! 🚀 This Streamlit app allows you to upload PDF and PPT files, extract their content, store the extracted text in a vector store, and interact with it using natural language queries! 🤖💬
+
+Built with **LangChain**, **OpenAI**, **Streamlit**, and **Astra DB**, this project leverages the power of LLMs (Large Language Models) to allow users to chat with their documents like never before. 🧠
+
+---
+
+### 🚀 **Features**
+
+- **PDF & PPT Extraction**: Upload PDF and PowerPoint files to extract text! 📄➡️📝
+- **Vector Store**: Automatically stores extracted text in a **Cassandra** vector store. 🔍📚
+- **Ask Anything**: Ask questions about the document, and get answers powered by **OpenAI**! 🤖❓
+
+---
+
+### 🛠️ **Tech Stack**
+- **Streamlit**: Frontend framework to interact with the app.
+- **LangChain**: For seamless document processing and querying.
+- **OpenAI**: For LLM integration to provide intelligent responses.
+- **Astra DB**: Database for storing and managing vectorized text data.
+- **Python Libraries**: PyPDF2, python-pptx, cassio, and more.
+
+---
+
+### 🌍 **Deployment**
+
+This project is designed to be deployed on **Hugging Face Spaces**. Just upload your code, and it will run in the cloud! 🌩️
+
+Make sure to configure the **Secrets** in Hugging Face Spaces for storing your sensitive API keys securely! 🔒
+
+---
+
+### 💡 **How It Works**
+
+- Upload a **PDF** or **PPT** file using the file uploader. 📤
+- The app will extract text from the file using **PyPDF2** (for PDFs) or **python-pptx** (for PPTs). 📄➡️📝
+- The extracted text is split into manageable chunks using **LangChain's CharacterTextSplitter**. ✂️
+- The chunks are then added to **Cassandra** as vectorized data using **OpenAI embeddings**. 🔄
+- Ask any query about the content of your document, and the app will respond using the power of **OpenAI**! 🤖💬
+
+---
+
+### 🎯 **Why Use This?**
+
+- **Make documents interactive**: Easily explore the content of your documents by asking questions.
+- **Quick retrieval**: With the text stored in a vector store, you can query the content efficiently.
+- **Secure API keys**: API keys are securely managed using environment variables and **Hugging Face Spaces Secrets**. 🔑💼
+
+---
+
+### 🤝 **Contributing**
+
+Feel free to fork this repo and submit issues or pull requests for any bugs or improvements. Contributions are welcome! 🙌
+
 ---
-title: ChatWithData
-emoji: 📉
-colorFrom: pink
-colorTo: blue
-sdk: streamlit
-sdk_version: 1.41.1
-app_file: app.py
-pinned: false
-short_description: A simplistic tool to query PDF AND PPTS
+
+### 🧑‍💻 **License**
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. 
+
+---
+
+### 📝 **Note**
+
+Remember to add your API keys and check the environment variables! If you're using Hugging Face Spaces, ensure your keys are added to the **Secrets** section. 🔐
+
+---
+
+### ✨ **Enjoy the App!** ✨  
+Now, go ahead and chat with your documents! 😄
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This version now only focuses on the app’s features and deployment, making it more suited for hosting and sharing on Hugging Face Spaces!