#!/usr/bin/env python3
"""
uncloseai.com API Examples in Python using requests library
Demonstrates direct HTTP calls to Hermes AI, Qwen Coder, and TTS endpoints
"""

import requests
import json

print("=== uncloseai.com Python (requests) Examples ===")
print()

# Example 1: Hermes AI Chat using requests
print("1. Hermes AI - General Purpose Chat (using requests)")
print("   Asking: 'Give a Python Fizzbuzz solution in one line of code?'")
print()

hermes_response = requests.post(
    "https://hermes.ai.unturf.com/v1/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": "Bearer dummy-key"
    },
    json={
        "model": "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
        "messages": [{"role": "user", "content": "Give a Python Fizzbuzz solution in one line of code?"}],
        "temperature": 0.5,
        "max_tokens": 150
    }
)

if hermes_response.status_code == 200:
    print("Response:")
    print(hermes_response.json()["choices"][0]["message"]["content"])
else:
    print(f"Error: {hermes_response.status_code} - {hermes_response.text}")

print()
print("---")
print()

# Example 2: Qwen 3 Coder using requests
print("2. Qwen 3 Coder - Specialized for Code (using requests)")
print("   Asking: 'Write a Python function to validate an email address'")
print()

qwen_response = requests.post(
    "https://qwen.ai.unturf.com/v1/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": "Bearer dummy-key"
    },
    json={
        "model": "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
        "messages": [{"role": "user", "content": "Write a Python function to validate an email address"}],
        "temperature": 0.5,
        "max_tokens": 200
    }
)

if qwen_response.status_code == 200:
    print("Response:")
    print(qwen_response.json()["choices"][0]["message"]["content"])
else:
    print(f"Error: {qwen_response.status_code} - {qwen_response.text}")

print()
print("---")
print()

# Example 3: Text-to-Speech using requests
print("3. Text-to-Speech Generation (using requests)")
print("   Converting text to speech and saving to speech.mp3")
print()

tts_response = requests.post(
    "https://speech.ai.unturf.com/v1/audio/speech",
    headers={
        "Content-Type": "application/json",
        "Authorization": "Bearer YOLO"
    },
    json={
        "model": "tts-1",
        "voice": "alloy",
        "input": "Hello from Python using requests! Today is a wonderful day to build something people love!"
    }
)

if tts_response.status_code == 200:
    with open("speech.mp3", "wb") as f:
        f.write(tts_response.content)

    import os
    file_size = os.path.getsize("speech.mp3")
    print(f"✓ Speech file created: speech.mp3 ({file_size} bytes)")
else:
    print(f"✗ Failed to create speech file: {tts_response.status_code}")

print()
print("=== Examples Complete ===")