pages/clippy.py

import streamlit as st
import subprocess
import os
import pandas as pd
import io

st.title("Hare Krishna 📋 Clippy")

k1, k2 = st.columns(2)

with k1:
    # File uploader for the video
    video_file = st.file_uploader("Upload the video lecture", type=['mp4'])

    if video_file is not None:
        # Save the uploaded file temporarily
        with open("temp_video.mp4", "wb") as f:
            f.write(video_file.getbuffer())
        
        # Option to choose between manual input or CSV upload
        input_method = st.radio("Choose input method", ["Manual", "CSV Upload"])
        
        clips_info = []
        
        if input_method == "Manual":
            # Manual input for multiple start and end times
            num_clips = st.number_input("Number of clips to generate", min_value=1, value=1)
            
            for i in range(num_clips):
                st.subheader(f"Clip {i+1}")
                start_time = st.text_input(f"Start time for clip {i+1} (hh:mm:ss)", key=f"start_{i}")
                end_time = st.text_input(f"End time for clip {i+1} (hh:mm:ss)", key=f"end_{i}")
                clip_name = st.text_input(f"Name for clip {i+1}", key=f"name_{i}")
                clips_info.append((start_time, end_time, clip_name))
        
        else:  # CSV Upload
            csv_file = st.file_uploader("Upload CSV file with clip information", type=['csv'])
            if csv_file is not None:
                df = pd.read_csv(io.StringIO(csv_file.getvalue().decode('utf-8')))
                for _, row in df.iterrows():
                    clips_info.append((row['start_time'], row['end_time'], row['id']))
        
        if st.button("Generate Clips"):
            for i, (start, end, name) in enumerate(clips_info):
                output_name = f"{name}.mp4" if name else f"clip_{i+1}.mp4"
                command = f'ffmpeg -i temp_video.mp4 -ss {start} -to {end} -c:v libx264 -crf 18 -c:a aac -b:a 192k -preset fast {output_name}'
                
                try:
                    subprocess.run(command, shell=True, check=True)
                    st.success(f"Clip {i+1} generated successfully: {output_name}")
                    
                    # Provide download button for the generated clip
                    with open(output_name, "rb") as file:
                        st.download_button(
                            label=f"Download {output_name}",
                            data=file,
                            file_name=output_name,
                            mime="video/mp4"
                        )
                except subprocess.CalledProcessError as e:
                    st.error(f"Error generating clip {i+1}: {e}")
        
        # Clean up the temporary file
        if os.path.exists("temp_video.mp4"):
            os.remove("temp_video.mp4")

with k2:
    st.image("https://imgur.com/vZMVBYw.png", caption="✅ Hare Krishna Clippy")
    
    st.header("How to use Hare Krishna Clippy")
    st.markdown("""
    1. **Upload Video**: Start by uploading your video lecture in MP4 format.
    
    2. **Choose Input Method**: Select either "Manual" or "CSV Upload".
    
    3a. **Manual Input**:
        - Set the number of clips you want to create.
        - For each clip, provide:
            - Start time (in hh:mm:ss format)
            - End time (in hh:mm:ss format)
            - Clip name (optional)
    
    3b. **CSV Upload**:
        - Upload a CSV file with columns: id, start_time, end_time
        - Example:
          id,start_time,end_time
          clip1,00:00:10,00:00:20
          clip2,00:01:30,00:02:00
    
    4. **Generate Clips**: Click the "Generate Clips" button to create your clips.
    
    5. **Download**: Once processing is complete, download buttons will appear for each generated clip.
    
    Hare Krishna! May this tool assist you in spreading Krishna consciousness.
    """)

    st.info("Remember to respect KRISHNA's copyright laws and only use videos you have permission to clip.")