fix

README.md

@@ -8,4 +8,78 @@ pinned: false
 short_description: Document Q&A 🤖📃
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Document Q&A with LLMs, Docker, and Hugging Face
+
+This project is a web-based application that allows you to chat with your documents. You can upload a document (PDF, DOCX, TXT, etc.), and the application will process it to answer your questions based on its content.
+
+The application is built with:
+
+*   **Backend:** Python, LlamaIndex, Groq, and Cohere.
+*   **Frontend:** Gradio for the user interface.
+*   **Containerization:** Docker for easy deployment.
+
+## How it Works
+
+1.  **Document Parsing:** When you upload a document, it's parsed using LlamaParse to extract the text content.
+2.  **Embeddings:** The extracted text is then converted into vector embeddings using Cohere's embedding model.
+3.  **LLM Interaction:** When you ask a question, the application uses the Groq API (with Llama 3) to find the most relevant information in the document and generate a response.
+
+## Running the Application with Docker
+
+### Prerequisites
+
+*   Docker installed on your machine.
+*   API keys for:
+    *   LlamaParse (LLAMA_CLOUD_API_KEY)
+    *   Groq (GROQ_API_KEY)
+    *   Cohere (COHERE_API_KEY)
+
+### Steps
+
+1.  **Build the Docker Image:**
+
+    ```bash
+    docker build -t document-qa .
+    ```
+
+2.  **Run the Docker Container:**
+
+    Replace `your_llama_cloud_key`, `your_groq_key`, and `your_cohere_key` with your actual API keys.
+
+    ```bash
+    docker run -p 7860:7860 \
+      -e LLAMA_CLOUD_API_KEY="your_llama_cloud_key" \
+      -e GROQ_API_KEY="your_groq_key" \
+      -e COHERE_API_KEY="your_cohere_key" \
+      document-qa
+    ```
+
+3.  **Access the Application:**
+
+    Open your web browser and go to `http://localhost:7860`.
+
+## Deploying to Hugging Face Spaces
+
+You can deploy this application to Hugging Face Spaces directly from this repository.
+
+### Steps
+
+1.  **Create a new Hugging Face Space:**
+    *   Go to [huggingface.co/new-space](https://huggingface.co/new-space).
+    *   Give your Space a name.
+    *   Select **Docker** as the Space SDK.
+    *   Choose "Docker from scratch".
+    *   Create the Space.
+
+2.  **Upload the files:**
+    *   Upload `app.py`, `requirements.txt`, and `Dockerfile` to your Hugging Face Space repository.
+
+3.  **Add Secrets:**
+    *   In your Space's settings, go to the **Secrets** section.
+    *   Add the following secrets with your API keys:
+        *   `LLAMA_CLOUD_API_KEY`
+        *   `GROQ_API_KEY`
+        *   `COHERE_API_KEY`
+
+4.  **Deploy:**
+    *   Hugging Face will automatically build the Docker image from your `Dockerfile` and deploy the application. Once the build is complete, your application will be live.

requirements.txt

@@ -3,4 +3,6 @@ python-dotenv
 llama-index
 llama-parse
 llama-index-llms-groq
-llama-index-embeddings-cohere
+llama-index-embeddings-cohere
+torch
+transformers