feat: expose language detection probabilities to server example

[sachaarbonel]

Description:
This PR enhances the JSON API response by adding detailed language detection information when transcribing or translating audio. The changes include:

1. Language detection probabilities for the detected language
2. A comprehensive list of language probabilities for all languages with non-negligible confidence scores (>0.001)
3. Integration with Whisper's existing language detection capabilities

The new information is added under a language_detection field in the JSON response, containing:

• probability: Confidence score for the detected language
• language_probabilities: Map of language codes to their detection probabilities

This enhancement provides more transparency into the language detection process and can be valuable for applications requiring confidence scores in language identification.

The changes are non-breaking and only add additional information to the existing JSON response structure.

Example Output:

{
  "task": "transcribe",
  "language": "english",
  "text": "This is the transcribed text of the audio file.",
  "language_detection": {
    "probability": 0.982,
    "language_probabilities": {
      "en": 0.982,
      "fr": 0.008,
      "es": 0.005,
      "de": 0.003
    }
  },
  "segments": [
    // ... segments array content ...
  ]
}

In this example:

• The main detected language (English) has a 98.2% confidence score
• Other languages with lower probabilities are also included
• Only languages with probabilities > 0.001 (0.1%) are shown
• The original JSON structure remains intact, with the new language_detection field added

[danbev]

Nit: Remove empty spaces (you can't see them here but they show up in local diffs as red bars, and it is just nice to not have the extra "noise").

[danbev]

Nit: Remove empty spaces.

[danbev]

Nit: Remove empty spaces.

[danbev]

Perhaps this could be add to jres directly so that it is easy to see all the attributes returned in one place, for example:

            json jres = json{                                                   
                {"task", params.translate ? "translate" : "transcribe"},        
                {"language", whisper_lang_str_full(whisper_full_lang_id(ctx))}, 
                {"duration", float(pcmf32.size())/WHISPER_SAMPLE_RATE},         
                {"text", results},                                              
                {"segments", json::array()},                                    
                {"language_detection", lang_info},                              
            };