Update README.md

Updated description, added banner image, removed code examples as they are added to wiki

README.md

@@ -1,4 +1,6 @@
-# hosp-ai
+![Banner GIF](banner.gif)
+
+# HOSP-AI
 Universal LLM Provider Connector for Java
 
 ![GitHub stars](https://img.shields.io/github/stars/r7b7/hosp-ai?style=social)
@@ -7,87 +9,33 @@ Universal LLM Provider Connector for Java
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)
 [![Wiki](https://img.shields.io/badge/Documentation-Wiki-blue)](https://github.com/r7b7/hosp-ai/wiki)
 
+## Why HOSP-AI?
+TBA
+
+## Contributions are Welcome (in need of volunteers)
+1. Fork the Repo
+2. Create a Branch - name it based on issue-fix, documentation, feature
+3. Pull a PR
 
-## How to Add hosp-ai as a Maven Dependency
+## Installation
 1. Add jitpack repository in pom file
     ```bash
     <repositories>
-		 <repository>
-			<id>jitpack.io</id>
-			<url>https://jitpack.io</url>
-		 </repository>
-	  </repositories>
+     <repository>
+      <id>jitpack.io</id>
+      <url>https://jitpack.io</url>
+     </repository>
+    </repositories>
 
-
-2. Add hosp-ai dependency
+2. Add hosp-ai dependency (check latest version)
     ```bash
     <dependency>
-			<groupId>com.github.r7b7</groupId>
-			<artifactId>hosp-ai</artifactId>
-			<version>v1.0.0-alpha.1</version>
-		</dependency>
-
-
-## How to Use in Code
-
-      LLMService service = LLMServiceFactory.createService(Provider.GROQ, "<YOUR_GROQ_API_KEY>", "mixtral-8x7b-32768");
-      PromptEngine promptEngine = new PromptEngine(service);
-      CompletionResponse response = promptEngine.getResponse(query);
-
-  **Explanation:**
-  1. Create an instance of LLMService - Pass provider name along with apikey and model name
-  2. Create an instance of PromptEngine and pass the service instance to it
-  3. Send the Query
-
-  **How to choose a different  model:**
-  1. To use a different model from same provider, just update the model name
-     ```bash
-     LLMService service = LLMServiceFactory.createService(Provider.GROQ, "<YOUR_GROQ_API_KEY>", "<NEW_MODEL_NAME>");
-
-  2. To use a different model from different provider, update all the params passed to create an instance of LLMService
-     ```bash
-     LLMService service = LLMServiceFactory.createService(<PROVIDER_NAME>, "<YOUR_GROQ_API_KEY>", "<NEW_MODEL_NAME>");
-
-  3. Rest of the code remains the same.
-
-## Currently Supported Providers and Platforms
-1. OpenAI
-2. Anthropic
-3. Groq
-4. Ollama
-
-## Features in Pipeline
-1. Accept Image Input
-2. Support Streaming response
-
-## Integration with SpringBoot
-1. Add Jitpack and hosp-ai maven dependencies as mentioned in the beginning.
-
-  Sample code:
-      
-      @GetMapping("/prompt")
-      public CompletionResponse getChatCompletion(@RequestParam String query){
-          LLMService service = LLMServiceFactory.createService(Provider.GROQ, "<YOUR_GROQ_API_KEY>", "mixtral-8x7b-32768");
-          PromptEngine promptEngine = new PromptEngine(service);
-          CompletionResponse response = promptEngine.getResponse(query);
-          return response;
-      }
-      
-   
-2. Set values of api-key in yaml or properties file
-3. Use a custom WebClient
-   While using frameworks like Spring Boot, developers might want to leverage the strengths provided by WebClient or RestTemplate. In such scenarios,
-   one can override the default client implementation provided in the library by following two steps,
-   
-   1. Create a Custom Client class and implement one of the Client interfaces, e.g. GroqClient, 
-      
-	  ```bash
-   		public class CustomGroqClient implements GroqClient
+     <groupId>com.github.r7b7</groupId>
+     <artifactId>hosp-ai</artifactId>
+     <version>v1.0.0-alpha.2</version>
+    </dependency>
 
-   2. Set the client in ClientFactory class
 
-        ```bash
-         GroqClientFactory.setClient(customGroqClient);
    
-## More Examples
+## Working Examples
 For working examples and tutorials - visit [Wiki](https://github.com/r7b7/hosp-ai/wiki)