Update README to update default and add more examples.

README.rst

@@ -38,10 +38,10 @@ 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)
+- ``MAX_TEXT_LENGTH`` - maximum text length (default: 1000)
 
-API Endpoints
--------------
+API Endpoints Examples
+----------------------
 
 1. ``/general`` - Named Entity Recognition
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -73,6 +73,22 @@ API Endpoints
        "threshold": 0.5
      }'
 
+**Batch request with `prompt`:**
+
+.. code:: json
+
+   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"],
+       "prompt": "Identify organizations, people, and places from the text.",
+       "threshold": 0.5
+     }'
+
 **Response:**
 
 .. code:: json
@@ -127,6 +143,22 @@ API Endpoints
        "threshold": 0.5
      }'
 
+**Batch request with prompt:**
+
+.. 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"],
+       "prompt": "Extract the relationships between the entities.",
+       "threshold": 0.5
+     }'
+
 **Response:**
 
 .. code:: json
@@ -182,6 +214,45 @@ API Endpoints
        "threshold": 0.5
      }'
 
+**Single request with `prompt`:**
+
+.. 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.",
+       "prompt": "Generate a concise summary of the key concepts.",
+       "threshold": 0.5
+     }'
+
+**Response:**
+
+.. code:: json
+
+   {
+     "outputs": [
+       {
+         "text": "Artificial intelligence is transforming industries worldwide.",
+         "start": 0,
+         "end": 61,
+         "score": 0.8586996793746948
+       },
+       {
+         "text": "Machine learning enables computers to learn from data.",
+         "start": 62,
+         "end": 116,
+         "score": 0.9330101013183594
+       },
+       {
+         "text": "Deep learning uses neural networks for complex tasks.",
+         "start": 117,
+         "end": 170,
+         "score": 0.8803190588951111
+       }
+     ]
+   }
+
 Error handling
 --------------