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Classifier.py

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+import cohere
+from cohere.responses.classify import Example
+
+class IntentClassifier:
+    
+    def _init__(self):
+        
+        self.kazik = "franek"
+       
+    async def intent(self, input):
+
+        co = cohere.Client("Ev0v9wwQPa90xDucdHTyFsllXGVHXouakUMObkNb")
+
+        examples = [
+            Example("How are you?", "conversation"), 
+            Example("Hello!", "conversation"), 
+            Example("Can you explain me how it works?", "conversation"), 
+            Example("Tell me a joke", "conversation"), 
+            Example("Can you start a websocket server?", "websockets"), 
+            Example("Connect client to a websocket server", "websockets"), 
+            Example("Disconnect a client from server", "websockets"), 
+            Example("Establish a connection", "websockets"), 
+            Example("At what port connect the client?", "port"), 
+            Example("Start server at port 2001", "port"),
+            Example("Connect a client at port 3012", "port"), 
+            Example("Which ports are busy?", "port"),
+            Example("To which port can client connect", "port"),
+            Example("What do you know?", "internet search"), 
+            Example("What are the most recent news?", "internet search"), 
+            Example("I need to know more", "internet search")            
+            ]
+
+        response = co.classify(
+            model='embed-english-v3.0',
+            inputs=input,
+            examples=examples)
+        
+        classifications = response.classifications
+        return str(classifications)