phunter_space / app.py
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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="🎬",
layout="centered"
)
def process_inputs(image, audio, prompt):
"""Process the inputs and return a result"""
if image is None:
return "❌ Please upload an image"
if audio is None:
return "❌ Please upload an audio file"
if not prompt:
return "❌ Please enter a prompt"
# Simulate processing
with st.spinner("Processing..."):
time.sleep(2)
return f"""βœ… Video generation request processed!
**Input received:**
- Image: βœ… Uploaded ({image.size} pixels)
- Audio: βœ… 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! 🎬"""
# Main app
st.title("🎬 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("πŸ“ 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("πŸŽ₯ Results")
if st.button("🎬 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("### πŸ“‹ 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