add readme

README.md

@@ -0,0 +1,34 @@
+# Margdarshak
+
+## Steps to Run
+
+To run the project, use the following commands:
+
+```sh
+# Run the project
+API_KEY=<openai api key> cargo run
+```
+
+## The project uses the following dependencies:
+
+- `anyhow`: For error handling.
+- `async-trait`: For async functions in traits.
+- `bytes`: For working with byte buffers.
+- `http-body-util`: For working with HTTP bodies.
+- `hyper`: For HTTP server and client implementation.
+- `tokio`: For asynchronous runtime.
+- `tracing`: For application-level tracing and logging.
+
+## Project Logic
+
+The project is structured to handle HTTP requests and process them using a wizard model. Here is a brief overview of the logic:
+
+1. **Initialization**: The `run` function initializes the `TargetRuntime` with HTTP, file system, and environment IO components. It then scrapes data from a specified URL and processes it into a query.
+
+2. **Wizard Interaction**: A `Wizard` instance is created using the processed query and an API key from the environment. The wizard is used to ask questions and get responses.
+
+3. **HTTP Server**: The `AppCtx` struct, which holds the `Wizard` instance and the scraped data, is passed to the HTTP server. The server listens for incoming requests.
+
+4. **Request Handling**: When a request is received, the `handle_request` function processes the request body, creates a `Question` instance, and uses the wizard to get a response. The response is then sent back to the client.
+
+This setup allows the project to dynamically process and respond to HTTP requests using the wizard model.

src/margdarshak/helper_md/query.md

@@ -25,4 +25,4 @@ question:
 {{question}}
 
 Make sure to respond in json which contains content in markdown format format.
-The response format must be {"response": "your response"}.
+The response format must be {"response": "your response"}.