modules/app.py

from fastapi import FastAPI, HTTPException, Request, Depends
from fastapi.staticfiles import StaticFiles
from pytube import YouTube
import uuid
import logging
import aiohttp
import base64
import io
import os
import random
import string
import json

app = FastAPI()

whisper_origin = os.getenv("WHISPER_ORIGIN")
whisper_base_url = os.getenv("WHISPER_BASE_URL")
img2location_name = os.getenv("IMG2LOCATION_NAME")
img2location_origin = os.getenv("IMG2LOCATION_ORIGIN")
img2location_base_url = os.getenv("IMG2LOCATION_BASE_URL")
pixart_sigma_base_url = os.getenv("PIXART_SIGMA_BASE_URL")
allowed_user_agent = os.getenv("ALLOWED_USER_AGENT")


def generate_hash(length=12):
    # Characters that can appear in the hash
    characters = string.ascii_lowercase + string.digits
    # Generate a random string of the specified length
    hash_string = ''.join(random.choice(characters) for _ in range(length))
    return hash_string

@app.get("/")
async def read_root():
    return {"message": "Saqib's API"}

# Create a directory to store MP3 files if it doesn't exist
AUDIO_DIR = "audio_files"
os.makedirs(AUDIO_DIR, exist_ok=True)

# Mount the audio directory
app.mount("/audio", StaticFiles(directory=AUDIO_DIR), name="audio")

@app.get("/get_audio")
async def get_audio(url: str):
    if not url:
        raise HTTPException(status_code=400, detail="URL is required")

    try:
        yt = YouTube(url)
        video = yt.streams.filter(only_audio=True).first()
        
        # Generate a unique filename
        unique_filename = f"{uuid.uuid4().hex}.mp3"
        out_file = os.path.join(AUDIO_DIR, unique_filename)
        
        # Download the audio
        video.download(output_path=AUDIO_DIR, filename=unique_filename)
        
        file_stats = os.stat(out_file)
        logging.info(f'Size of audio file in Bytes: {file_stats.st_size}')
        
        if file_stats.st_size <= 30000000:
            # Construct the URL for the MP3 file
            mp3_url = f"/audio/{unique_filename}"
            return mp3_url
        else:
            os.remove(out_file)
            raise HTTPException(status_code=413, detail="Audio file is too large. Limited to about 1.5 hours.")
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/whisper")
async def whisper(request: Request):
    data = await request.json()  # Extracting JSON data from request
    if "audio_url" not in data:
        raise HTTPException(status_code=400, detail="audio_url not found in request")
    url = data["audio_url"]

    headers = {
        'Accept': 'application/json, text/plain, */*',
        'Accept-Language': 'en-US,en;q=0.9',
        'Cache-Control': 'no-cache',
        'Connection': 'keep-alive',
        'Content-Type': 'application/json',
        'DNT': '1',
        'Origin': whisper_origin,
        'Pragma': 'no-cache',
        'Referer': f'{whisper_origin}/',
        'Sec-Fetch-Dest': 'empty',
        'Sec-Fetch-Mode': 'cors',
        'Sec-Fetch-Site': 'same-site',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Edg/124.0.0.0',
        'sec-ch-ua': '"Chromium";v="124", "Microsoft Edge";v="124", "Not-A.Brand";v="99"',
        'sec-ch-ua-mobile': '?0',
        'sec-ch-ua-platform': '"Windows"',
    }

    # Async HTTP request to get the audio file
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as resp:
            if resp.status != 200:
                return f"Failed to download audio: {resp.status}"
            audio_data = await resp.read()

            # Encode the audio data to base64
            audio_base64 = base64.b64encode(audio_data).decode("utf-8")

            json_data = '{"audio": "' + audio_base64 + '"}'

            # Post request to the API
            async with session.post(f'{whisper_base_url}/v1/inference/openai/whisper-large', headers=headers, data=json_data) as post_resp:
                if post_resp.status != 200:
                    return f"API request failed: {post_resp.status}"
                return await post_resp.json()

@app.post("/img2location")
async def img2location(request: Request):
    request_json = await request.json()
    image_url = request_json.get("image_url", None)
    
    if not image_url:
        raise HTTPException(status_code=400, detail="image_url not found in request")
    
    def extract_coordinates(text):
        # Split the text into lines
        lines = text.split('\n')
        
        # Iterate through each line to find the one that contains the coordinates
        for line in lines:
            try:
                if line.startswith("Coordinates:"):
                    # Remove the label and split by comma
                    coords = line.replace("Coordinates:", "").strip()
                    lat, lon = coords.split(',')
                    
                    # Further split by space to isolate numerical values
                    latitude = float(lat.split('°')[0].strip())
                    longitude = float(lon.split('°')[0].strip())
                    
                    return latitude, longitude
            except Exception as e:
                print("Error:", e)
                return None
        # Return None if no coordinates are found
        return None

    headers = {
        'accept': '*/*',
        'accept-language': 'en-US,en;q=0.9',
        'cache-control': 'no-cache',
        'dnt': '1',
        'origin': img2location_origin,
        'pragma': 'no-cache',
        'priority': 'u=1, i',
        'referer': f'{img2location_origin}/',
        'sec-ch-ua': '"Chromium";v="124", "Microsoft Edge";v="124", "Not-A.Brand";v="99"',
        'sec-ch-ua-mobile': '?0',
        'sec-ch-ua-platform': '"Windows"',
        'sec-fetch-dest': 'empty',
        'sec-fetch-mode': 'cors',
        'sec-fetch-site': 'cross-site',
        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Edg/124.0.0.0',
    }

    async with aiohttp.ClientSession() as session:
        # Fetch the image from the URL
        async with session.get(image_url) as img_response:
            if img_response.status != 200:
                return f"Failed to fetch image: HTTP {img_response.status}"
            image_data = await img_response.read()

        # Using BytesIO to handle the byte content
        data = aiohttp.FormData()
        data.add_field('image', io.BytesIO(image_data), filename="image.png", content_type='image/png')

        # Sending the POST request
        async with session.post(img2location_base_url, headers=headers, data=data) as response:
            if response.status != 200:
                return f"Failed to upload image: HTTP {response.status}"
            json_response = await response.json()
            
            if 'message' in json_response:
                json_response['message'] = json_response['message'].strip()
                coordinates = extract_coordinates(json_response['message'])

                if coordinates:
                    latitude, longitude = coordinates
                    google_maps = f"https://www.google.com/maps/search/?api=1&query={latitude},{longitude}"
                
                    json_response['message'] += f"\n\nView on Google Maps: {google_maps}"
                
                if img2location_name in json_response['message'].lower():
                    raise HTTPException(status_code=400, detail="We are not allowed to process this image. Please try another one.")

                return json_response
            
            raise ValueError(f"Unexpected response: {json_response}")

@app.post("/pixart-sigma")
async def pixart_sigma(request: Request):
    request_json = await request.json()
    prompt = request_json.get("prompt", None)
    negative_prompt = request_json.get("negative_prompt", "")
    style = request_json.get("style", "(No style)")
    use_negative_prompt = request_json.get("use_negative_prompt", True)
    num_imgs = request_json.get("num_imgs", 1)
    seed = request_json.get("seed", 0)
    width = request_json.get("width", 1024)
    height = request_json.get("height", 1024)
    schedule = request_json.get("schedule", "DPM-Solver")
    dpms_guidance_scale = request_json.get("dpms_guidance_scale", 4.5)
    sas_guidance_scale = request_json.get("sas_guidance_scale", 3)
    dpms_inference_steps = request_json.get("dpms_inference_steps", 14)
    sas_inference_steps = request_json.get("sas_inference_steps", 25)
    randomize_seed = request_json.get("randomize_seed", True)

    hash = generate_hash()

    headers = {
        'accept': '*/*'
    }

    params = {
        '__theme': 'light',
    }

    json_data = {
        'data': [
            prompt,
            negative_prompt,
            style,
            use_negative_prompt,
            num_imgs,
            seed,
            width,
            height,
            schedule,
            dpms_guidance_scale,
            sas_guidance_scale,
            dpms_inference_steps,
            sas_inference_steps,
            randomize_seed,
        ],
        'event_data': None,
        'fn_index': 3,
        'trigger_id': 7,
        'session_hash': hash,
    }

    async with aiohttp.ClientSession() as session:
        async with session.post(f'{pixart_sigma_base_url}/queue/join', params=params, headers=headers, json=json_data, ssl=False) as response:
            print(response.status)

        params = {
            'session_hash': hash,
        }

        async with session.get(f'{pixart_sigma_base_url}/queue/data', params=params, headers=headers, ssl=False) as response:
            async for line in response.content:
                try:
                    if line:
                        line = line.decode('utf-8')
                        line = line.replace('data: ', '')
                        line_json = json.loads(line)
                        if line_json["msg"] == "process_completed":
                            image_url = line_json["output"]["data"][0][0]["image"]["url"]
                            return {"image_url": image_url}
                except:
                    pass

# if __name__ == "__main__":
#     import uvicorn
#     uvicorn.run(app, host="0.0.0.0", port=8000)