Delete HuggingFaceAPI.cls

HuggingFaceAPI.cls

@@ -1,40 +0,0 @@
-public class HuggingFaceAPI {
-    private static final String API_URL = 'http://your-flask-api-url/query'; // Change to your Flask API URL
-
-    // Method to make the HTTP request to Hugging Face API
-    public static String queryHuggingFace(String query) {
-        HttpRequest req = new HttpRequest();
-        req.setEndpoint(API_URL);
-        req.setMethod('POST');
-        req.setHeader('Content-Type', 'application/json');
-        
-        // Prepare the JSON body
-        String jsonBody = '{"query": "' + query + '"}';
-        req.setBody(jsonBody);
-        
-        Http http = new Http();
-        HttpResponse res = http.send(req);
-        
-        // Check if the response is successful
-        if (res.getStatusCode() == 200) {
-            // Parse the JSON response
-            Map<String, Object> responseMap = (Map<String, Object>)JSON.deserializeUntyped(res.getBody());
-            String answer = (String)responseMap.get('answer');
-            return answer;
-        } else {
-            System.debug('Error: ' + res.getStatusCode() + ' ' + res.getStatus());
-            return 'Error: Could not fetch answer from Hugging Face model.';
-        }
-    }
-    
-    // Method to log query in Salesforce
-    public static void logQuery(String userId, String query, String answer, String documentLink, Decimal confidenceScore) {
-        Chat_Query_Log__c newLog = new Chat_Query_Log__c();
-        newLog.User__c = userId;
-        newLog.Query__c = query;
-        newLog.Answer__c = answer;
-        newLog.Confidence_Score__c = confidenceScore;
-        newLog.Document_Link__c = documentLink;
-        insert newLog;
-    }
-}