app.py

import streamlit as st
from huggingface_hub import HfApi
import os
import json
from datetime import datetime
import cv2
import random
from PIL import Image
import string
import subprocess
import glob
import shutil
from groq import Groq
import tempfile
from pydub import AudioSegment

# Initialize the Hugging Face and Groq APIs
hf_api = HfApi(token=os.getenv("HF_API_TOKEN"))
groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))

def generate_random_string(length=4):
    return ''.join(random.choices(string.ascii_lowercase, k=length))

def add_random_to_filename(filename):
    name, ext = os.path.splitext(filename)
    random_string = generate_random_string()
    return f"{name}-{random_string}{ext}"

def extract_thumbnail(video_path, thumbnail_path):
    video = cv2.VideoCapture(video_path)
    total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
    random_frame = random.randint(0, total_frames - 1)
    video.set(cv2.CAP_PROP_POS_FRAMES, random_frame)
    success, frame = video.read()
    if success:
        cv2.imwrite(thumbnail_path, frame)
    video.release()
    return success

def save_custom_thumbnail(thumbnail_file, thumbnail_path):
    img = Image.open(thumbnail_file)
    img.save(thumbnail_path)
    return True

def get_video_length(video_path):
    video = cv2.VideoCapture(video_path)
    fps = video.get(cv2.CAP_PROP_FPS)
    total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
    duration = int(total_frames / fps) if fps > 0 else 0
    video.release()
    return duration

def generate_metadata(video_name, title, description, uploader, file_location, thumbnail_location, subtitle_location, duration):
    return {
        "fileName": video_name,
        "title": title,
        "description": description,
        "uploader": uploader,
        "uploadTimestamp": datetime.now().isoformat(),
        "fileLocation": file_location,
        "thumbnailLocation": thumbnail_location,
        "subtitleLocation": subtitle_location,
        "duration": duration,
        "views": 0,
        "likes": 0
    }

def update_index_file(new_metadata_path):
    temp_dir = "temp_repo"
    if os.path.exists(temp_dir):
        shutil.rmtree(temp_dir)
    
    try:
        subprocess.run(['git', 'clone', 'https://huggingface.co/spaces/vericudebuget/ok4231', temp_dir], check=True)
        metadata_dir = os.path.join(temp_dir, 'metadata')
        json_files = glob.glob(os.path.join(metadata_dir, '*-index.json'))
        
        base_url = "huggingface.co/spaces/vericudebuget/ok4231/raw/main/metadata/"
        paths = []
        
        for f in json_files:
            file_timestamp = datetime.now().isoformat()  # Get the current timestamp
            file_path = f"{base_url}{os.path.basename(f)}"
            paths.append({"url": file_path, "timestamp": file_timestamp})
        
        # Add the new metadata file with the current timestamp
        new_metadata_filename = os.path.basename(new_metadata_path)
        new_full_path = f"{base_url}{new_metadata_filename}"
        file_timestamp = datetime.now().isoformat()  # Get timestamp for the new metadata file
        
        # Check if the new file is already in the list, if not, add it
        if not any(entry['url'] == new_full_path for entry in paths):
            paths.append({"url": new_full_path, "timestamp": file_timestamp})
        
        # Convert the paths list to a proper JSON format
        index_content = json.dumps(paths, indent=2)
        
        index_path = os.path.join(temp_dir, 'metadata', 'video-index.json')
        os.makedirs(os.path.dirname(index_path), exist_ok=True)
        with open(index_path, 'w') as f:
            f.write(index_content)
        
        # Upload the updated index file
        hf_api.upload_file(
            path_or_fileobj=index_path,
            path_in_repo="metadata/video-index.json",
            repo_id="vericudebuget/ok4231",
            repo_type="space",
        )
    
    finally:
        if os.path.exists(temp_dir):
            shutil.rmtree(temp_dir)

def create_subtitles(video_path):  # Renamed from generate_subtitles
    with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as temp_audio:
        # Convert video to mono 128kbps MP3
        audio = AudioSegment.from_file(video_path)
        audio = audio.set_channels(1).set_frame_rate(44100).set_sample_width(2)
        audio.export(temp_audio.name, format='mp3', bitrate='128k')
        
        # Generate subtitles using Groq
        with open(temp_audio.name, 'rb') as audio_file:
            translation = groq_client.audio.translations.create(
                file=(temp_audio.name, audio_file.read()),
                model="whisper-large-v3",
                response_format="verbose_json",
                temperature=0.0
            )
    
    # Generate VTT content
    vtt_content = "WEBVTT\n\n"
    for segment in translation.segments:
        start_time = segment['start']
        end_time = segment['end']
        text = segment['text'].strip()
        
        start_time_vtt = f"{int(start_time // 3600):02}:{int((start_time % 3600) // 60):02}:{start_time % 60:06.3f}"
        end_time_vtt = f"{int(end_time // 3600):02}:{int((end_time % 3600) // 60):02}:{end_time % 60:06.3f}"
        
        vtt_content += f"{start_time_vtt} --> {end_time_vtt}\n{text}\n\n"
    
    os.unlink(temp_audio.name)  # Clean up temp file
    return vtt_content

def upload_video_to_hf(video_file, original_video_name, title, description, uploader, should_generate_subs=False, custom_thumbnail=None):  # Renamed parameter
    temp_dir = "temp"
    if not os.path.exists(temp_dir):
        os.makedirs(temp_dir)
    
    try:
        video_name = add_random_to_filename(original_video_name)
        video_path = os.path.join(temp_dir, video_name)
        
        base_name = os.path.splitext(video_name)[0]
        thumbnail_name = f"{base_name}_thumb.jpg"
        thumbnail_path = os.path.join(temp_dir, thumbnail_name)
        
        json_name = f"{base_name}-index.json"
        json_path = os.path.join(temp_dir, json_name)
        
        with open(video_path, "wb") as f:
            f.write(video_file.read())
        
        if custom_thumbnail:
            thumbnail_extracted = save_custom_thumbnail(custom_thumbnail, thumbnail_path)
        else:
            thumbnail_extracted = extract_thumbnail(video_path, thumbnail_path)
        
        if not thumbnail_extracted:
            st.error("Failed to process thumbnail")
            return None
        
        video_length = get_video_length(video_path)
        
        # Generate and upload subtitles if requested and video is not too long
        subtitle_location = ""
        if should_generate_subs and video_length <= 3600:  # 1 hour in seconds
            try:
                vtt_content = create_subtitles(video_path)  # Using renamed function
                subtitle_name = f"{base_name}.vtt"
                subtitle_path = os.path.join(temp_dir, subtitle_name)
                
                with open(subtitle_path, 'w') as f:
                    f.write(vtt_content)
                
                subtitle_location = f"subtitles/{subtitle_name}"
                hf_api.upload_file(
                    path_or_fileobj=subtitle_path,
                    path_in_repo=subtitle_location,
                    repo_id="vericudebuget/ok4231",
                    repo_type="space",
                )
            except Exception as e:
                st.warning(f"Failed to generate subtitles: {str(e)}")

        # Upload video and thumbnail
        video_location = f"videos/{video_name}"
        hf_api.upload_file(
            path_or_fileobj=video_path,
            path_in_repo=video_location,
            repo_id="vericudebuget/ok4231",
            repo_type="space",
        )
        
        thumbnail_location = f"thumbnails/{thumbnail_name}"
        hf_api.upload_file(
            path_or_fileobj=thumbnail_path,
            path_in_repo=thumbnail_location,
            repo_id="vericudebuget/ok4231",
            repo_type="space",
        )
        
        # Generate and upload metadata
        metadata = generate_metadata(video_name, title, description, uploader, video_location, thumbnail_location, subtitle_location, video_length)
        with open(json_path, "w") as f:
            json.dump(metadata, f, indent=2)
        
        metadata_location = f"metadata/{json_name}"
        hf_api.upload_file(
            path_or_fileobj=json_path,
            path_in_repo=metadata_location,
            repo_id="vericudebuget/ok4231",
            repo_type="space",
        )
        
        update_index_file(metadata_location)
        
        return metadata
    
    finally:
        if os.path.exists(temp_dir):
            shutil.rmtree(temp_dir)

# Streamlit app interface
st.title("Upload your video")
st.markdown("---")

uploaded_video = st.file_uploader("Choose video file", type=["mp4", "avi", "mov", "webm", "mkv"])

if uploaded_video:
    with st.form("video_details"):
        st.write("Video Details")
        title = st.text_input("Title", placeholder="Enter video title")
        description = st.text_area("Description", placeholder="Enter video description")
        uploader = st.text_input("Uploader Name", placeholder="Enter your name")
        
        # Create a temporary file to get video duration
        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_video:
            temp_video.write(uploaded_video.getvalue())
            video_duration = get_video_length(temp_video.name)
        os.unlink(temp_video.name)  # Clean up temp file
        
        # Subtitle generation toggle, disabled if video is longer than 1 hour
        should_generate_subs = st.toggle("Generate Subtitles", disabled=video_duration > 3600, value=True)  # Renamed variable
        if video_duration > 3600 and should_generate_subs:
            st.warning("Subtitle generation is disabled for videos longer than 1 hour.")
        
        custom_thumbnail = st.file_uploader("Upload custom thumbnail (optional)", type=["jpg", "jpeg", "png"])
        
        submit_button = st.form_submit_button("Upload Video")
        
        if submit_button:
            if not title or not uploader:
                st.error("Please fill in the title and uploader name.")
            else:
                with st.spinner("Uploading video, generating thumbnail and metadata... This may take some time. Please wait."):
                    metadata = upload_video_to_hf(
                        uploaded_video, 
                        uploaded_video.name, 
                        title, 
                        description, 
                        uploader,
                        should_generate_subs,  # Using renamed variable
                        custom_thumbnail
                    )
                    if metadata:
                        st.success("Upload completed successfully!")
                        st.json(metadata)
else:
    st.info("Please upload a video file to begin.")