app.py

from fastapi import FastAPI, Request
from pydantic import BaseModel
import requests
import os
import uuid
import re


app = FastAPI()


class RequestBody(BaseModel):
    model: str
    key_body: str
    text: str


@app.post("/api/v1")
async def generate_response(request_body: RequestBody):
    input_text = request_body.text
    model = request_body.model
    key_true = os.environ['key']
    key_body = request_body.key_body
    if key_body == key_true:
        if model == "gemini":
            key_gemini = os.environ['key_gemini']
            headers = {'Content-Type': 'application/json',}
            params = {'key': key_gemini}
            json_data = {'contents': [{'parts': [{'text': input_text}]}]}
            response = requests.post('https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent',params=params,headers=headers,json=json_data,)
            all_chunk = response.json()['candidates'][0]['content']['parts'][0]['text']
    
        if model == 'groq':
            key_groq = os.environ['key_groq']
            headers = {'Authorization': f'Bearer {key_groq}','Content-Type': 'application/json'}
            json_data = {'messages': [{'role': 'user','content': input_text}],'model': 'llama-3.1-70b-versatile',}
            response = requests.post('https://api.groq.com/openai/v1/chat/completions', headers=headers, json=json_data)
            all_chunk = response.json()["choices"][0]["message"]["content"]
            
        if model == "cohere":
            key_cohere = os.environ['key_cohere']
            headers = {'accept': 'application/json','content-type': 'application/json','Authorization': f'Bearer {key_cohere}',}
            data = {"model":"command-r-plus","messages":[{ "role": "user", "content": input_text}]}
            response = requests.post('https://api.cohere.com/v2/chat', headers=headers, json=data)
            all_chunk = response.json()['message']['content'][0]['text']

        if model == 'blackbox':
            headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36","Accept": "*/*","Accept-Language": "en-US,en;q=0.5","Accept-Encoding": "gzip, deflate, br","Referer": "https://www.blackbox.ai","Content-Type": "application/json","Origin": "https://www.blackbox.ai","DNT": "1","Sec-GPC": "1","Alt-Used": "www.blackbox.ai","Connection": "keep-alive",}
            json_data = {'messages': [{'id':  uuid.uuid4().hex,'content': input_text,'role': 'user',},],'id':  uuid.uuid4().hex,'previewToken': None,'userId': None,'codeModelMode': True,'agentMode': { 'mode': True, 'id': 'ImageGenerationLV45LJp', 'name': 'Image Generation',},'trendingAgentMode': {},'isMicMode': False,'maxTokens': 1024,'playgroundTopP': None,'playgroundTemperature': None,'isChromeExt': False,'githubToken': None,'clickedAnswer2': False,'clickedAnswer3': False,'clickedForceWebSearch': False,'visitFromDelta': False,'mobileClient': False,'userSelectedModel': None,'validated': '00f37b34-a166-4efb-bce5-1312d87f2f94',}
            response = requests.post('https://www.blackbox.ai/api/chat', headers=headers, json=json_data)
            decoded_string = ''.join(char for char in response.text if char != '\x00' and char != '\x08')
            pattern = r'https?://\S+\.(?:jpg|jpeg|png|gif)'
            match2 = re.search(pattern, decoded_string)
            all_chunk = match2.group()
            
    if key_body != key_true:
        all_chunk = "How's the hack going?"
    return {"response": all_chunk}