from flask import Flask, request, jsonify
import requests
from typing import List, Dict, Union
import json

app = Flask(__name__)
models = ['cognitivecomputations/dolphin-2.6-mixtral-8x7b',  'databricks/dbrx-instruct',  'google/gemma-1.1-7b-it', 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1',  'lizpreciatior/lzlv_70b_fp16_hf', 'meta-llama/Meta-Llama-3-70B-Instruct', 'meta-llama/Meta-Llama-3-8B-Instruct', 'microsoft/WizardLM-2-7B', 'microsoft/WizardLM-2-8x22B', 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mixtral-8x22B-Instruct-v0.1',  'mistralai/Mistral-7B-Instruct-v0.2', 'openchat/openchat-3.6-8b']
class LLM:
    def __init__(self, model: str):
        self.model = model
        self.conversation_history = [{"role": "system", "content": "You are a Helpful AI."}]
    
    def chat(self, messages: List[Dict[str, str]], system_message: str = None) -> Union[str, None]:
        if system_message is not None:
            self.conversation_history.insert(0, {"role": "system", "content": system_message})
        all_messages = self.conversation_history + messages
        
        url = "https://api.deepinfra.com/v1/openai/chat/completions"
        headers = {
            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
            'Accept-Language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
            'Cache-Control': 'no-cache',
            'Connection': 'keep-alive',
            'Content-Type': 'application/json',
            'Origin': 'https://deepinfra.com',
            'Pragma': 'no-cache',
            'Referer': 'https://deepinfra.com/',
            'Sec-Fetch-Dest': 'empty',
            'Sec-Fetch-Mode': 'cors',
            'Sec-Fetch-Site': 'same-site',
            'X-Deepinfra-Source': 'web-embed',
            'accept': 'text/event-stream',
            'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
            'sec-ch-ua-mobile': '?0',
            'sec-ch-ua-platform': '"macOS"'
        }
        data = json.dumps(
            {
                'model': self.model,
                'messages': all_messages,
                'temperature': 0.7,
                'max_tokens': 8028,
                'stop': [],
                'stream': False
            }, separators=(',', ':')
        )
        try:
            result = requests.post(url=url, data=data, headers=headers)
            return result.json()['choices'][0]['message']['content']
        except:
            return None

def GenerativeIO(text, Model, System_Prompt):
    llm = LLM(model=Model)
    messages = [
        {"role": "system", "content": text},
        {"role": "user", "content": System_Prompt}
    ]
    response = llm.chat(messages)
    return response

@app.route('/generate', methods=['POST'])
def generate():
    data = request.get_json()
    text = data.get('text')
    Model = data.get('Model')
    System_Prompt = data.get('System_Prompt')
    response = GenerativeIO(text, Model, System_Prompt)
    return jsonify({'response': response})
  
@app.route('/models', methods=['GET'])
def get_models():
    return jsonify(models)

if __name__ == '__main__':
    app.run()