app.py

import streamlit as st
import os
import tempfile
import subprocess
from whisper import load_model
import requests

# --- Groq API Key ---
GROQ_API_KEY = os.getenv('GROQ_API_KEY')

st.title("🎥 Multilingual Video Translator App")

st.write("Upload a video in any language, and translate it to your selected language!")

# --- Video Upload ---
video_file = st.file_uploader("📤 Upload a video", type=['mp4', 'mov', 'avi'])

# --- Target Language Selection ---
target_lang = st.selectbox("🌐 Select Target Language", 
                           ["English", "Spanish", "French", "German", "Hindi", "Chinese", "Arabic", "Japanese"])

if video_file is not None:
    st.video(video_file)

    # Save uploaded video temporarily
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmpfile:
        tmpfile.write(video_file.read())
        temp_video_path = tmpfile.name

    # --- Extract Audio using ffmpeg ---
    st.info("🔊 Extracting audio using ffmpeg...")
    audio_output = "temp_audio.mp3"
    ffmpeg_cmd = f"ffmpeg -i {temp_video_path} -vn -acodec libmp3lame {audio_output} -y"
    subprocess.run(ffmpeg_cmd, shell=True)

    # --- Transcribe Audio using Whisper ---
    st.info("📝 Transcribing audio...")
    model = load_model("small")  # Or "tiny"
    result = model.transcribe(audio_output)
    transcription = result['text']

    st.success("✅ Transcription Complete")
    st.write("**Original Transcription:**")
    st.write(transcription)

    # --- Translate using Groq API ---
    st.info("🌍 Translating text...")
    url = "https://api.groq.com/openai/v1/chat/completions"
    headers = {
        "Authorization": f"Bearer {GROQ_API_KEY}",
        "Content-Type": "application/json"
    }
    messages = [
        {"role": "system", "content": "You are a translation assistant."},
        {"role": "user", "content": f"Translate this text to {target_lang}: {transcription}"}
    ]
    payload = {
        "model": "mixtral-8x7b-32768",
        "messages": messages,
        "temperature": 0.2
    }

    response = requests.post(url, headers=headers, json=payload)

    if response.status_code == 200:
        translated_text = response.json()['choices'][0]['message']['content']
        st.success(f"✅ Translated to {target_lang}:")
        st.write(translated_text)
    else:
        st.error(f"❌ Translation failed! {response.status_code}: {response.text}")

    # Cleanup
    os.remove(temp_video_path)
    os.remove(audio_output)

st.write("---")
st.write("🚀 Made with ❤️ using Whisper + Groq + Streamlit")