Update README.md

README.md

@@ -1,59 +1,70 @@
-# 🤖 DocBot: Smart Document ChatBot
-
-DocBot is an intelligent document processing application with a chatbot interface. It can process various types of documents, including PDFs and images, extract essential information, and enable user interaction through a chat interface.
-
-## ⭐️ Features
-
-- **Document Upload**: Upload PDF, PNG, JPG, or JPEG files for processing.
-- **Text Extraction**: Extract text content from uploaded documents.
-- **Image Processing**: Convert PDF documents to images and extract text from images.
-- **Chatbot Interface**: Interact with the document through a chatbot interface powered by Groq.
-- **Natural Language Understanding**: Utilizes spaCy for natural language processing.
-- **Dynamic Progress Bar**: Visual feedback on document processing progress.
-- **Error Handling**: Provides error messages for any processing failures.
-
-## ⚙️ Installation
-
-1. Clone the repository:
-
-    ```bash
-    git clone https://github.com/yourusername/docbot.git
-    ```
-
-2. Install the required Python packages:
-
-    ```bash
-    pip install -r requirements.txt
-    ```
-
-3. Set up the environment variables:
-
-    Create a `.env` file in the root directory and add the following:
-
-    ```dotenv
-    GROQ_API_KEY='your_groq_api_key'
-    ```
-
-4. Run the Streamlit app:
-
-    ```bash
-    streamlit run app.py
-    ```
-
-## 🚀 Usage
-
-1. Run the Streamlit app using the provided installation instructions.
-2. Upload your document using the file uploader.
-3. Wait for the document to be processed.
-4. Interact with the document by asking questions in the chatbot interface.
-
-## 💻 Technologies Used
-
-- [Streamlit](https://streamlit.io/) - For building the interactive web application.
-- [PyPDF2](https://pythonhosted.org/PyPDF2/) - For PDF document processing.
-- [pdf2image](https://github.com/Belval/pdf2image) - For converting PDFs to images.
-- [PyMuPDF](https://pypi.org/project/PyMuPDF/) - For PDF document rendering.
-- [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) - For extracting text from images.
-- [spaCy](https://spacy.io/) - For natural language processing.
-- [Groq](https://github.com/groq/groq-py) - For AI-powered chatbot interaction.
-- [Pillow](https://python-pillow.org/) - For image processing.
+---
+title: "DocBot: Smart Document ChatBot"
+emoji: 🤖
+colorFrom: indigo
+colorTo: purple
+sdk: streamlit
+sdk_version: "0.87.0"
+app_file: app.py
+pinned: false
+---
+
+# 🤖 DocBot: Smart Document ChatBot
+
+DocBot is an intelligent document processing application with a chatbot interface. It can process various types of documents, including PDFs and images, extract essential information, and enable user interaction through a chat interface.
+
+## ⭐️ Features
+
+- **Document Upload**: Upload PDF, PNG, JPG, or JPEG files for processing.
+- **Text Extraction**: Extract text content from uploaded documents.
+- **Image Processing**: Convert PDF documents to images and extract text from images.
+- **Chatbot Interface**: Interact with the document through a chatbot interface powered by Groq.
+- **Natural Language Understanding**: Utilizes spaCy for natural language processing.
+- **Dynamic Progress Bar**: Visual feedback on document processing progress.
+- **Error Handling**: Provides error messages for any processing failures.
+
+## ⚙️ Installation
+
+1. Clone the repository:
+
+    ```bash
+    git clone https://github.com/yourusername/docbot.git
+    ```
+
+2. Install the required Python packages:
+
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Set up the environment variables:
+
+    Create a `.env` file in the root directory and add the following:
+
+    ```dotenv
+    GROQ_API_KEY='your_groq_api_key'
+    ```
+
+4. Run the Streamlit app:
+
+    ```bash
+    streamlit run app.py
+    ```
+
+## 🚀 Usage
+
+1. Run the Streamlit app using the provided installation instructions.
+2. Upload your document using the file uploader.
+3. Wait for the document to be processed.
+4. Interact with the document by asking questions in the chatbot interface.
+
+## 💻 Technologies Used
+
+- [Streamlit](https://streamlit.io/) - For building the interactive web application.
+- [PyPDF2](https://pythonhosted.org/PyPDF2/) - For PDF document processing.
+- [pdf2image](https://github.com/Belval/pdf2image) - For converting PDFs to images.
+- [PyMuPDF](https://pypi.org/project/PyMuPDF/) - For PDF document rendering.
+- [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) - For extracting text from images.
+- [spaCy](https://spacy.io/) - For natural language processing.
+- [Groq](https://github.com/groq/groq-py) - For AI-powered chatbot interaction.
+- [Pillow](https://python-pillow.org/) - For image processing.