Updated: UPDATED README.md as well as some changes in code and url

README.md

@@ -39,14 +39,6 @@ This command installs all the dependencies listed in the `requirements.txt` file
 
 ### **Code Overview**
 
-```python
-executor = ThreadPoolExecutor(max_workers=2)
-```
-
-- **`ThreadPoolExecutor(max_workers=2)`** limits the number of concurrent threads (tasks) per worker process to 2 for text classification. This helps control resource usage and prevent overloading the server.
-
----
-
 ### **Running and Load Balancing:**
 
 To run the app in production with load balancing:
@@ -55,25 +47,8 @@ To run the app in production with load balancing:
 uvicorn app:app --host 0.0.0.0 --port 8000 --workers 4
 ```
 
-This command launches the FastAPI app with **4 worker processes**, allowing it to handle multiple requests concurrently.
-
-### **Concurrency Explained:**
+This command launches the FastAPI app.
 
-1. **`ThreadPoolExecutor(max_workers=20)`**
-
-   - Controls the **number of threads** within a **single worker** process.
-   - Allows up to 20 tasks (text classification requests) to be handled simultaneously per worker, improving responsiveness for I/O-bound tasks.
-
-2. **`--workers 4` in Uvicorn**
-   - Spawns **4 independent worker processes** to handle incoming HTTP requests.
-   - Each worker can independently handle multiple tasks, increasing the app's ability to process concurrent requests in parallel.
-
-### **How They Relate:**
-
-- **Uvicorn’s `--workers`** defines how many worker processes the server will run.
-- **`ThreadPoolExecutor`** limits how many tasks (threads) each worker can process concurrently.
-
-For example, with **4 workers** and **20 threads per worker**, the server can handle **80 tasks concurrently**. This provides scalable and efficient processing, balancing the load across multiple workers and threads.
 
 ### **Endpoints**
 
@@ -116,13 +91,13 @@ uvicorn app:app --host 0.0.0.0 --port 8000 --workers 4
 You can test the FastAPI endpoint using `curl` like this:
 
 ```bash
-curl -X POST http://127.0.0.1:8000/analyze \
-  -H "Authorization: Bearer HelloThere" \
+curl -X POST https://can-org-canspace.hf.space/analyze \
+  -H "Authorization: Bearer SECRET_CODE" \
   -H "Content-Type: application/json" \
   -d '{"text": "This is a sample sentence for analysis."}'
 ```
 
-- The `-H "Authorization: Bearer HelloThere"` part is used to simulate the **handshake**.
+- The `-H "Authorization: Bearer SECRET_CODE"` part is used to simulate the **handshake**.
 - FastAPI checks this token against the one loaded from the `.env` file.
 - If the token matches, the request is accepted and processed.
 - Otherwise, it responds with a `403 Unauthorized` error.
@@ -131,8 +106,8 @@ curl -X POST http://127.0.0.1:8000/analyze \
 
 ### **API Documentation**
 
-- **Swagger UI:** `http://127.0.0.1:8000/docs` -> `/docs`
-- **ReDoc:** `http://127.0.0.1:8000/redoc` -> `/redoc`
+- **Swagger UI:** `https://can-org-canspace.hf.space/docs` -> `/docs`
+- **ReDoc:** `https://can-org-canspace.hf.space/redoc` -> `/redoc`
 
 ### **🔐 Handshake Mechanism**
 
@@ -180,8 +155,8 @@ nestjs-fastapi-bridge/
 Create a `.env` file at the root with the following:
 
 ```environment
-  FASTAPI_BASE_URL=http://localhost:8000
-  SECRET_TOKEN="HelloThere"
+  FASTAPI_BASE_URL=https://can-org-canspace.hf.space/
+  SECRET_TOKEN="SECRET_CODE_TOKEN"
 ```
 
 #### 2. `fastapi.service.ts`
@@ -281,7 +256,7 @@ Run the server of flask and nest.js:
 Make sure your FastAPI service is running at `http://localhost:8000`.
 
 ### Test with CURL
-
+http://localhost:3000/-> Server of nest.js
 ```bash
 curl -X POST http://localhost:3000/analyze-text \
   -H 'Content-Type: application/json' \