Update README to add how to use the server.

README.rst

@@ -3,6 +3,215 @@ GLiNER_Inference_Server
 
 GLiNER_Inference_Server - an inference server using FastAPI.
 
+Quick start
+-----------
+
+1. Build the Docker image
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: bash
+
+   docker build -t gliner-server .
+
+2. Run the container
+~~~~~~~~~~~~~~~~~~~~
+
+.. code:: bash
+
+   docker run -p 8000:8000 gliner-server
+
+Use PORT enviroment variable to override port:
+
+.. code:: bash
+
+   docker run -p 9000:9000 -e PORT=9000 gliner-server
+
+3. Health check
+~~~~~~~~~~~~~~~
+
+.. code:: bash
+
+   curl http://localhost:8000/health
+
+enviroment variables
+--------------------
+
+- ``PORT`` - server's port (default: 8000)
+- ``MODEL_NAME`` - model name HuggingFace (default: knowledgator/gliner-multitask-large-v0.5)
+- ``MAX_TEXT_LENGTH`` - maximum text length (default: 10000)
+
+API Endpoints
+-------------
+
+1. ``/general`` - Named Entity Recognition
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+**Single request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/general \
+     -H "Content-Type: application/json" \
+     -d '{
+       "text": "Apple Inc. was founded by Steve Jobs in California.",
+       "entities": ["organization", "person", "location"],
+       "threshold": 0.5
+     }'
+
+**Batch request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/general \
+     -H "Content-Type: application/json" \
+     -d '{
+       "texts": [
+         "Apple Inc. was founded by Steve Jobs in California.",
+         "Microsoft is located in Redmond, Washington."
+       ],
+       "entities": ["organization", "person", "location"],
+       "threshold": 0.5
+     }'
+
+**Response:**
+
+.. code:: json
+
+   {
+     "outputs": [
+       {
+         "entity": "organization",
+         "span": "Apple Inc.",
+         "start": 0,
+         "end": 10,
+         "score": 0.95
+       },
+       {
+         "entity": "person",
+         "span": "Steve Jobs",
+         "start": 27,
+         "end": 37,
+         "score": 0.92
+       }
+     ]
+   }
+
+2. ``/relation-extraction`` - Extraction відносин
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+**Single request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/relation-extraction \
+     -H "Content-Type: application/json" \
+     -d '{
+       "text": "Steve Jobs founded Apple Inc. in California.",
+       "relations": ["founded_by", "located_in"],
+       "entities": ["person", "organization", "location"],
+       "threshold": 0.5
+     }'
+
+**Batch request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/relation-extraction \
+     -H "Content-Type: application/json" \
+     -d '{
+       "texts": [
+         "Steve Jobs founded Apple Inc. in California.",
+         "Bill Gates leads Microsoft."
+       ],
+       "relations": ["founded_by", "leads"],
+       "threshold": 0.5
+     }'
+
+**Response:**
+
+.. code:: json
+
+   {
+     "outputs": [
+       {
+         "source": {
+           "entity": "organization",
+           "span": "Apple Inc.",
+           "start": 20,
+           "end": 30,
+           "score": 0.95
+         },
+         "relation": "founded_by",
+         "target": {
+           "entity": "person",
+           "span": "Steve Jobs",
+           "start": 0,
+           "end": 10,
+           "score": 0.92
+         },
+         "score": 0.88
+       }
+     ]
+   }
+
+3. ``/summarization`` - Summarization
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+**Single request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/summarization \
+     -H "Content-Type: application/json" \
+     -d '{
+       "text": "Artificial intelligence is transforming industries worldwide. Machine learning enables computers to learn from data. Deep learning uses neural networks for complex tasks.",
+       "threshold": 0.5
+     }'
+
+**Batch request:**
+
+.. code:: bash
+
+   curl -X POST http://localhost:8000/summarization \
+     -H "Content-Type: application/json" \
+     -d '{
+       "texts": [
+         "First document about AI and ML...",
+         "Second document about data science..."
+       ],
+       "threshold": 0.5
+     }'
+
+Error handling
+--------------
+
+All errors are returned in the standard format:
+
+.. code:: json
+
+   {
+     "error": {
+       "code": "INVALID_INPUT",
+       "message": "Provide either 'text' or 'texts', not both",
+       "details": {}
+     }
+   }
+
+Error codes
+~~~~~~~~~~~
+
+- ``INVALID_INPUT`` (400) - invalid input data
+- ``INTERNAL_ERROR`` (500) - internal server error
+
+Validation
+----------
+
+- **text** or **texts** - one of them is mandatory (but not both)
+- **entities/relations** - cannot be empty lists
+- **threshold** - value from 0.0 to 1.0
+- **texts** - cannot be an empty list
+- The maximum length of the text is controlled through ``MAX_TEXT_LENGTH``
+
 Author
 ======