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| import streamlit as st | |
| import time | |
| from PIL import Image | |
| st.set_page_config( | |
| page_title="MeiGen-MultiTalk Demo", | |
| page_icon="π¬", | |
| layout="centered" | |
| ) | |
| def process_inputs(image, audio, prompt): | |
| """Process the inputs and return a result""" | |
| if image is None: | |
| return "β Please upload an image" | |
| if audio is None: | |
| return "β Please upload an audio file" | |
| if not prompt: | |
| return "β Please enter a prompt" | |
| # Simulate processing | |
| with st.spinner("Processing..."): | |
| time.sleep(2) | |
| return f"""β Video generation request processed! | |
| **Input received:** | |
| - Image: β Uploaded ({image.size} pixels) | |
| - Audio: β Uploaded | |
| - Prompt: {prompt} | |
| **Note:** This is a demo interface. The actual video generation would require: | |
| 1. Loading the MeiGen-MultiTalk model | |
| 2. Processing the input image and audio | |
| 3. Generating the video using the model | |
| 4. Returning the generated video file | |
| The model files are not included in this demo due to size constraints. | |
| Ready for implementation! π¬""" | |
| # Main app | |
| st.title("π¬ MeiGen-MultiTalk Demo") | |
| st.markdown("Generate talking videos from images and audio using AI") | |
| # Create columns for layout | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.header("π Input Files") | |
| # Image upload | |
| uploaded_image = st.file_uploader( | |
| "Choose a reference image", | |
| type=['png', 'jpg', 'jpeg'], | |
| help="Upload a clear, front-facing photo" | |
| ) | |
| if uploaded_image is not None: | |
| image = Image.open(uploaded_image) | |
| st.image(image, caption="Uploaded Image", use_column_width=True) | |
| # Audio upload | |
| uploaded_audio = st.file_uploader( | |
| "Choose an audio file", | |
| type=['mp3', 'wav', 'ogg'], | |
| help="Upload clear audio without background noise" | |
| ) | |
| if uploaded_audio is not None: | |
| st.audio(uploaded_audio, format='audio/wav') | |
| # Prompt input | |
| prompt = st.text_area( | |
| "Enter a prompt", | |
| value="A person talking", | |
| placeholder="Describe the desired video...", | |
| help="Be specific about the desired talking style" | |
| ) | |
| with col2: | |
| st.header("π₯ Results") | |
| if st.button("π¬ Generate Video", type="primary"): | |
| if uploaded_image is not None and uploaded_audio is not None and prompt: | |
| result = process_inputs( | |
| Image.open(uploaded_image), | |
| uploaded_audio, | |
| prompt | |
| ) | |
| st.success("Processing complete!") | |
| st.text_area("Generation Log", result, height=300) | |
| else: | |
| st.error("Please upload both image and audio files, and enter a prompt") | |
| # Tips section | |
| st.markdown("---") | |
| st.markdown("### π Tips for Best Results") | |
| st.markdown(""" | |
| - **Image**: Use clear, front-facing photos with good lighting | |
| - **Audio**: Ensure clean audio without background noise | |
| - **Prompt**: Be specific about the desired talking style | |
| - **Format**: Supported image formats: PNG, JPG, JPEG | |
| - **Audio**: Supported audio formats: MP3, WAV, OGG | |
| """) | |
| st.markdown("---") | |
| st.markdown("*This is a demo interface ready for model integration.*") | |
| # Minimal test version |