Create app.py

app.py

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+import streamlit as st
+from some_video_processing_library import process_video
+
+# Title of the app
+st.title('AI-powered Video to Video App')
+
+# Video uploader
+uploaded_video = st.file_uploader("Choose a video...", type=["mp4", "mov", "avi"])
+
+# Parameters settings
+st.sidebar.header('Adjust Parameters')
+style = st.sidebar.slider('Style: Structural consistency', 1, 10, 4)
+weight = st.sidebar.slider('Style: Weight', 1.0, 10.0, 8.5)
+seed = st.sidebar.number_input('Seed', value=123456789)
+frame_consistency = st.sidebar.slider('Frame consistency', 0.0, 1.0, 0.9)
+
+# Advanced settings
+upscale = st.sidebar.checkbox('Upscale')
+remove_watermark = st.sidebar.checkbox('Remove watermark')
+affect_foreground_only = st.sidebar.checkbox('Affect foreground only')
+
+# If a video is uploaded, show the video and the 'Process' button
+if uploaded_video is not None:
+    st.video(uploaded_video)
+    if st.button('Process Video'):
+        # This function should call the AI model to process the video
+        # with the provided parameters.
+        processed_video = process_video(uploaded_video, style, weight, seed, frame_consistency, upscale, remove_watermark, affect_foreground_only)
+        
+        # Show the processed video
+        st.video(processed_video)