from openai import OpenAI
import base64
 
def encode_audio(audio_path):
    with open(audio_path, "rb") as audio_file:
        return base64.b64encode(audio_file.read()).decode('utf-8')
 
client = OpenAI(
    api_key="agnic_tok_YOUR_TOKEN",
    base_url="https://api.agnic.ai/v1"
)
 
# Read and encode the audio file
audio_path = "path/to/your/audio.wav"
base64_audio = encode_audio(audio_path)
 
response = client.chat.completions.create(
    model="google/gemini-2.0-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Please transcribe this audio file."
                },
                {
                    "type": "input_audio",
                    "input_audio": {
                        "data": base64_audio,
                        "format": "wav"
                    }
                }
            ]
        }
    ]
)
 
print(response.choices[0].message.content)

import OpenAI from 'openai';
import fs from 'fs';
 
const client = new OpenAI({
  apiKey: 'agnic_tok_YOUR_TOKEN',
  baseURL: 'https://api.agnic.ai/v1'
});
 
// Read and encode the audio file
const audioPath = 'path/to/your/audio.wav';
const audioBuffer = fs.readFileSync(audioPath);
const base64Audio = audioBuffer.toString('base64');
 
const response = await client.chat.completions.create({
  model: 'google/gemini-2.0-flash',
  messages: [
    {
      role: 'user',
      content: [
        {
          type: 'text',
          text: 'Please transcribe this audio file.'
        },
        {
          type: 'input_audio',
          input_audio: {
            data: base64Audio,
            format: 'wav'
          }
        }
      ]
    }
  ]
});
 
console.log(response.choices[0].message.content);

# First, encode your audio file
AUDIO_BASE64=$(base64 -i audio.wav)
 
curl https://api.agnic.ai/v1/chat/completions \
  -H "Authorization: Bearer agnic_tok_YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-2.0-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Transcribe this audio"},
          {
            "type": "input_audio",
            "input_audio": {
              "data": "'$AUDIO_BASE64'",
              "format": "wav"
            }
          }
        ]
      }
    ]
  }'