Spaces:
Running
Running
Update app.py robust
Browse files
app.py
CHANGED
@@ -46,6 +46,27 @@ def create_temp_folder():
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return run_folder
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def main():
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# ---------------- CUSTOM CSS FOR A PROFESSIONAL, DARK THEME ----------------
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st.markdown(
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"""
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@@ -118,6 +139,13 @@ def main():
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transform: scale(1.02);
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box-shadow: 0 0 20px rgba(142,68,173,0.8), 0 0 30px rgba(114,45,145,0.6);
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}
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/* File uploader label styling */
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.stFileUploader label {
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font-size: 1rem;
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@@ -129,6 +157,22 @@ def main():
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padding-left: 1rem;
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margin-left: 1rem;
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}
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</style>
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""",
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unsafe_allow_html=True
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unsafe_allow_html=True
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)
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# ---------------- SECTION 1: IMAGE & PROMPT INPUTS ----------------
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st.subheader("1. Upload Source Images & Prompts")
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col_imgA, col_imgB = st.columns(2)
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with col_imgA:
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st.markdown("#### Image A")
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uploaded_image_A = st.file_uploader("Upload your first image", type=["png", "jpg", "jpeg"], key="imgA"
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if uploaded_image_A is not None:
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st.image(uploaded_image_A, caption="Preview - Image A", use_container_width=True)
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prompt_A = st.text_input("Short Description for Image A (optional)", value="", key="promptA",
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-
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with col_imgB:
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st.markdown("#### Image B")
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uploaded_image_B = st.file_uploader("Upload your second image", type=["png", "jpg", "jpeg"], key="imgB"
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if uploaded_image_B is not None:
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st.image(uploaded_image_B, caption="Preview - Image B", use_container_width=True)
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prompt_B = st.text_input("Short Description for Image B (optional)", value="", key="promptB",
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st.markdown("<hr>", unsafe_allow_html=True)
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@@ -215,7 +297,8 @@ def main():
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"Custom ⚙️"
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],
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index=0,
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label_visibility="collapsed"
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)
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# Determine preset defaults based on selection
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]
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default_model = preset_model if preset_model is not None else "Base Stable Diffusion V1-5"
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default_index = options_list.index(default_model)
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model_option = st.selectbox("Select Model Card", options=options_list, index=default_index)
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col_left, col_right = st.columns(2)
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# Left Column: Keyframe Generator Parameters
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with col_left:
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st.markdown("##### Keyframe Generator Parameters")
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num_frames = st.number_input("Number of keyframes (2–50)", min_value=2, max_value=50, value=16)
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lcm_default = preset_lcm if preset_lcm is not None else False
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enable_lcm_lora = st.checkbox(
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"Enable LCM-LoRA",
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value=lcm_default,
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help="Accelerates inference with slight quality decrease"
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)
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use_adain = st.checkbox("Use AdaIN", value=True, help="Adaptive Instance Normalization for improved generation")
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use_reschedule = st.checkbox("Use reschedule sampling", value=True, help="Better sampling strategy")
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# Right Column: Inter-frame Interpolator Parameters (FILM)
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with col_right:
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st.markdown("<div class='right-column-divider'>", unsafe_allow_html=True)
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st.markdown("##### Inter-frame Interpolator Parameters")
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default_use_film = preset_film if preset_film is not None else True
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use_film = st.checkbox("Use FILM interpolation", value=default_use_film, help="Frame Interpolation for Large Motion - creates smooth transitions")
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film_recursions = st.number_input("FILM recursion passes (1–6)", min_value=1, max_value=6, value=3,
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help="Higher values create more intermediate frames (smoother but slower)"
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# Set default FPS based on whether FILM is enabled
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default_fps = 30 if use_film else 4
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output_fps = st.number_input("Output FPS (1–120)", min_value=1, max_value=120, value=default_fps,
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help="Output video frames per second"
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st.markdown("</div>", unsafe_allow_html=True)
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st.markdown("<hr>", unsafe_allow_html=True)
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@@ -289,122 +375,132 @@ def main():
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st.markdown("Once satisfied with your inputs, click below to start the process.")
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# New checkbox for SLAB execution toggle
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# using_slab = st.checkbox("Using SLAB GPU Cluster?", value=False, help="If enabled, the pipeline command will be prefixed with SLAB cluster execution parameters.")
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temp_dir = create_temp_folder()
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actual_model_path = (
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"lykon/dreamshaper-7" if model_option == "Dreamshaper-7 (fine-tuned SD V1-5)"
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else "stabilityai/stable-diffusion-2-1-base" if model_option == "Base Stable Diffusion V2-1"
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else "sd-legacy/stable-diffusion-v1-5"
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)
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# Build the command for run_morphing.py
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cmd = [
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sys.executable, "run_morphing.py",
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"--model_path", actual_model_path,
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"--image_path_0", imgA_path,
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"--image_path_1", imgB_path,
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"--prompt_0", prompt_A,
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"--prompt_1", prompt_B,
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"--output_path", output_dir,
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"--film_output_folder", film_output_dir,
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"--num_frames", str(num_frames),
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"--fps", str(output_fps)
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]
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if enable_lcm_lora:
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cmd.append("--use_lcm")
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if use_adain:
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cmd.append("--use_adain")
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if use_reschedule:
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cmd.append("--use_reschedule")
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if use_film:
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cmd.append("--use_film")
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# Add film recursion parameter
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cmd.extend(["--film_num_recursions", str(film_recursions)])
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# If SLAB execution is enabled, prepend the srun command prefix.
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# if using_slab:
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# slab_prefix = [
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# "srun", "-p", "rtx3090_slab", "-w", "slabgpu05", "--gres=gpu:1",
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# "--job-name=test", "--kill-on-bad-exit=1"
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# ]
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# cmd = slab_prefix + cmd
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st.info("Initializing pipeline. This may take a few minutes...")
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progress_bar = st.progress(0)
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status_text = st.empty()
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# Update progress status
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for i in range(1, 11):
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status_text.text(f"Step {i}/10: {'Preparing images' if i <= 2 else 'Generating keyframes' if i <= 6 else 'Interpolating frames' if i <= 9 else 'Finalizing video'}")
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progress_bar.progress(i * 10)
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try:
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subprocess.run(cmd, check=True)
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except subprocess.CalledProcessError as e:
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st.error(f"Error running morphing pipeline: {e}")
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# Set to 100% when done
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progress_bar.progress(100)
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status_text.text("Processing complete!")
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# Check for output video
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video_found = False
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possible_outputs = [f for f in os.listdir(film_output_dir) if f.endswith(".mp4")]
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if possible_outputs:
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final_video_path = os.path.join(film_output_dir, possible_outputs[0])
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video_found = True
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if not video_found:
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possible_outputs = [f for f in os.listdir(output_dir) if f.endswith(".mp4")]
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if possible_outputs:
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final_video_path = os.path.join(output_dir, possible_outputs[0])
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video_found = True
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if video_found:
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st.success("Morphing complete! 🎉")
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# st.video(final_video_path) # Comment to remove video preview, buggy
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try:
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with open(final_video_path, "rb") as f:
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video_bytes = f.read()
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st.download_button(
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"Download Result Video",
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data=video_bytes,
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file_name="metamorph_result.mp4",
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mime="video/mp4"
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)
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except Exception as e:
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st.error(f"Error preparing video for download: {e}")
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else:
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st.warning("No output video was generated. Check logs for details.")
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if __name__ == "__main__":
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main()
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return run_folder
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def main():
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# Initialize session state for tracking processing status
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if 'processing' not in st.session_state:
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st.session_state.processing = False
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if 'process_complete' not in st.session_state:
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st.session_state.process_complete = False
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if 'temp_dir' not in st.session_state:
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st.session_state.temp_dir = None
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if 'final_video_path' not in st.session_state:
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st.session_state.final_video_path = None
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# Restart function to reset session state
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def restart():
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st.session_state.processing = False
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st.session_state.process_complete = False
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st.session_state.temp_dir = None
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st.session_state.final_video_path = None
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st.rerun() # Use st.rerun() instead of experimental_rerun
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# ---------------- CUSTOM CSS FOR A PROFESSIONAL, DARK THEME ----------------
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st.markdown(
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"""
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transform: scale(1.02);
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box-shadow: 0 0 20px rgba(142,68,173,0.8), 0 0 30px rgba(114,45,145,0.6);
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}
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/* Disabled button styling */
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div.stButton > button:disabled {
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background-image: linear-gradient(45deg, #6b6b6b, #4a4a4a);
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box-shadow: none;
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cursor: not-allowed;
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opacity: 0.7;
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}
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/* File uploader label styling */
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.stFileUploader label {
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font-size: 1rem;
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padding-left: 1rem;
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margin-left: 1rem;
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}
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/* Processing overlay */
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.processing-overlay {
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position: fixed;
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top: 0;
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left: 0;
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right: 0;
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bottom: 0;
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background-color: rgba(0, 0, 0, 0.7);
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z-index: 1000;
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display: flex;
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flex-direction: column;
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justify-content: center;
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align-items: center;
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color: white;
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font-size: 1.5rem;
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}
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</style>
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""",
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unsafe_allow_html=True
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unsafe_allow_html=True
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)
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# Show results if processing is complete
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if st.session_state.process_complete and st.session_state.final_video_path is not None:
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st.success("Morphing complete! 🎉")
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# st.video(st.session_state.final_video_path)
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try:
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with open(st.session_state.final_video_path, "rb") as f:
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video_bytes = f.read()
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st.download_button(
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"Download Result Video",
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data=video_bytes,
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file_name="metamorph_result.mp4",
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mime="video/mp4"
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)
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# Add a restart button to clear the session state and start over
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if st.button("Start New Morphing Project", key="restart"):
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restart() # Use the restart function
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except Exception as e:
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st.error(f"Error preparing video for download: {e}")
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# Early return to not show the input forms again when we have a result
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return
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# Show processing indicator if currently processing
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if st.session_state.processing:
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progress_container = st.container()
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with progress_container:
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st.info("Processing your morphing request. Please wait...")
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progress_bar = st.progress(0)
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status_text = st.empty()
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status_text.text("Initializing pipeline. Please do not close this page.")
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st.warning("⚠️ Please wait for the current process to complete. Do not press the run button again.")
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# ---------------- SECTION 1: IMAGE & PROMPT INPUTS ----------------
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st.subheader("1. Upload Source Images & Prompts")
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col_imgA, col_imgB = st.columns(2)
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with col_imgA:
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st.markdown("#### Image A")
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uploaded_image_A = st.file_uploader("Upload your first image", type=["png", "jpg", "jpeg"], key="imgA",
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disabled=st.session_state.processing)
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if uploaded_image_A is not None:
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st.image(uploaded_image_A, caption="Preview - Image A", use_container_width=True)
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prompt_A = st.text_input("Short Description for Image A (optional)", value="", key="promptA",
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help="For added interpolation between the two descriptions",
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disabled=st.session_state.processing)
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with col_imgB:
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st.markdown("#### Image B")
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uploaded_image_B = st.file_uploader("Upload your second image", type=["png", "jpg", "jpeg"], key="imgB",
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disabled=st.session_state.processing)
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if uploaded_image_B is not None:
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st.image(uploaded_image_B, caption="Preview - Image B", use_container_width=True)
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prompt_B = st.text_input("Short Description for Image B (optional)", value="", key="promptB",
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help="For added interpolation between the two descriptions",
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disabled=st.session_state.processing)
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st.markdown("<hr>", unsafe_allow_html=True)
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"Custom ⚙️"
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],
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index=0,
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label_visibility="collapsed",
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disabled=st.session_state.processing
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)
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# Determine preset defaults based on selection
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]
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default_model = preset_model if preset_model is not None else "Base Stable Diffusion V1-5"
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default_index = options_list.index(default_model)
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model_option = st.selectbox("Select Model Card", options=options_list, index=default_index, disabled=st.session_state.processing)
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col_left, col_right = st.columns(2)
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# Left Column: Keyframe Generator Parameters
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with col_left:
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st.markdown("##### Keyframe Generator Parameters")
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num_frames = st.number_input("Number of keyframes (2–50)", min_value=2, max_value=50, value=16, disabled=st.session_state.processing)
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lcm_default = preset_lcm if preset_lcm is not None else False
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enable_lcm_lora = st.checkbox(
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"Enable LCM-LoRA",
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value=lcm_default,
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+
help="Accelerates inference with slight quality decrease",
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+
disabled=st.session_state.processing
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)
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+
use_adain = st.checkbox("Use AdaIN", value=True, help="Adaptive Instance Normalization for improved generation", disabled=st.session_state.processing)
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+
use_reschedule = st.checkbox("Use reschedule sampling", value=True, help="Better sampling strategy", disabled=st.session_state.processing)
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# Right Column: Inter-frame Interpolator Parameters (FILM)
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with col_right:
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st.markdown("<div class='right-column-divider'>", unsafe_allow_html=True)
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st.markdown("##### Inter-frame Interpolator Parameters")
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default_use_film = preset_film if preset_film is not None else True
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+
use_film = st.checkbox("Use FILM interpolation", value=default_use_film, help="Frame Interpolation for Large Motion - creates smooth transitions", disabled=st.session_state.processing)
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film_recursions = st.number_input("FILM recursion passes (1–6)", min_value=1, max_value=6, value=3,
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+
help="Higher values create more intermediate frames (smoother but slower)",
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+
disabled=st.session_state.processing)
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# Set default FPS based on whether FILM is enabled
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default_fps = 30 if use_film else 4
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output_fps = st.number_input("Output FPS (1–120)", min_value=1, max_value=120, value=default_fps,
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+
help="Output video frames per second",
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+
disabled=st.session_state.processing)
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st.markdown("</div>", unsafe_allow_html=True)
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st.markdown("<hr>", unsafe_allow_html=True)
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st.markdown("Once satisfied with your inputs, click below to start the process.")
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# New checkbox for SLAB execution toggle
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+
# using_slab = st.checkbox("Using SLAB GPU Cluster?", value=False, help="If enabled, the pipeline command will be prefixed with SLAB cluster execution parameters.", disabled=st.session_state.processing)
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380 |
+
# Create a container for the run button and its status messages
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+
run_container = st.container()
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+
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383 |
+
with run_container:
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+
# Button text changes based on processing state
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+
button_text = "Processing... Please Wait" if st.session_state.processing else "Run Morphing Pipeline"
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|
386 |
|
387 |
+
# Button is disabled during processing
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388 |
+
if st.button(button_text, key="run_pipeline", disabled=st.session_state.processing):
|
389 |
+
if not (uploaded_image_A and uploaded_image_B):
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390 |
+
st.error("Please upload both images before running the morphing pipeline.")
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391 |
+
else:
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392 |
+
# Set the processing state to True to prevent multiple runs
|
393 |
+
st.session_state.processing = True
|
394 |
+
|
395 |
+
# Create progress indicators
|
396 |
+
progress_bar = st.progress(0)
|
397 |
+
status_text = st.empty()
|
398 |
+
status_text.text("Initializing pipeline. This may take a few minutes...")
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|
399 |
|
400 |
+
# Instead of using /tmp, create a folder in the repo for temporary processing.
|
401 |
+
temp_dir = create_temp_folder()
|
402 |
+
st.session_state.temp_dir = temp_dir
|
403 |
+
|
404 |
+
try:
|
405 |
+
# Save uploaded images
|
406 |
+
imgA_path = os.path.join(temp_dir, "imageA.png")
|
407 |
+
imgB_path = os.path.join(temp_dir, "imageB.png")
|
408 |
+
save_uploaded_file(uploaded_image_A, imgA_path)
|
409 |
+
save_uploaded_file(uploaded_image_B, imgB_path)
|
410 |
+
|
411 |
+
# Create output directories
|
412 |
+
output_dir = os.path.join(temp_dir, "morph_results")
|
413 |
+
film_output_dir = os.path.join(temp_dir, "film_output")
|
414 |
+
os.makedirs(output_dir, exist_ok=True)
|
415 |
+
os.makedirs(film_output_dir, exist_ok=True)
|
416 |
+
|
417 |
+
actual_model_path = (
|
418 |
+
"lykon/dreamshaper-7" if model_option == "Dreamshaper-7 (fine-tuned SD V1-5)"
|
419 |
+
else "stabilityai/stable-diffusion-2-1-base" if model_option == "Base Stable Diffusion V2-1"
|
420 |
+
else "sd-legacy/stable-diffusion-v1-5"
|
421 |
+
)
|
422 |
+
|
423 |
+
# Build the command for run_morphing.py
|
424 |
+
cmd = [
|
425 |
+
sys.executable, "run_morphing.py",
|
426 |
+
"--model_path", actual_model_path,
|
427 |
+
"--image_path_0", imgA_path,
|
428 |
+
"--image_path_1", imgB_path,
|
429 |
+
"--prompt_0", prompt_A,
|
430 |
+
"--prompt_1", prompt_B,
|
431 |
+
"--output_path", output_dir,
|
432 |
+
"--film_output_folder", film_output_dir,
|
433 |
+
"--num_frames", str(num_frames),
|
434 |
+
"--fps", str(output_fps)
|
435 |
+
]
|
436 |
+
|
437 |
+
if enable_lcm_lora:
|
438 |
+
cmd.append("--use_lcm")
|
439 |
+
if use_adain:
|
440 |
+
cmd.append("--use_adain")
|
441 |
+
if use_reschedule:
|
442 |
+
cmd.append("--use_reschedule")
|
443 |
+
if use_film:
|
444 |
+
cmd.append("--use_film")
|
445 |
+
|
446 |
+
# Add film recursion parameter
|
447 |
+
cmd.extend(["--film_num_recursions", str(film_recursions)])
|
448 |
+
|
449 |
+
# If SLAB execution is enabled, prepend the srun command prefix.
|
450 |
+
# if using_slab:
|
451 |
+
# slab_prefix = [
|
452 |
+
# "srun", "-p", "rtx3090_slab", "-w", "slabgpu05", "--gres=gpu:1",
|
453 |
+
# "--job-name=test", "--kill-on-bad-exit=1"
|
454 |
+
# ]
|
455 |
+
# cmd = slab_prefix + cmd
|
456 |
+
|
457 |
+
# Update progress status for preparing phase
|
458 |
+
progress_bar.progress(10)
|
459 |
+
status_text.text("Preparing images and configuration...")
|
460 |
+
|
461 |
+
# Run the morphing process
|
462 |
try:
|
463 |
subprocess.run(cmd, check=True)
|
464 |
+
|
465 |
+
# Update progress
|
466 |
+
progress_bar.progress(90)
|
467 |
+
status_text.text("Processing complete! Preparing results...")
|
468 |
+
|
469 |
+
# Check for output video
|
470 |
+
video_found = False
|
471 |
+
possible_outputs = [f for f in os.listdir(film_output_dir) if f.endswith(".mp4")]
|
472 |
+
if possible_outputs:
|
473 |
+
final_video_path = os.path.join(film_output_dir, possible_outputs[0])
|
474 |
+
video_found = True
|
475 |
+
|
476 |
+
if not video_found:
|
477 |
+
possible_outputs = [f for f in os.listdir(output_dir) if f.endswith(".mp4")]
|
478 |
+
if possible_outputs:
|
479 |
+
final_video_path = os.path.join(output_dir, possible_outputs[0])
|
480 |
+
video_found = True
|
481 |
+
|
482 |
+
if video_found:
|
483 |
+
st.session_state.final_video_path = final_video_path
|
484 |
+
st.session_state.process_complete = True
|
485 |
+
|
486 |
+
# Set progress to 100%
|
487 |
+
progress_bar.progress(100)
|
488 |
+
|
489 |
+
st.rerun()
|
490 |
+
else:
|
491 |
+
status_text.warning("No output video was generated. Check logs for details.")
|
492 |
+
st.session_state.processing = False
|
493 |
+
st.session_state.process_complete = False
|
494 |
+
|
495 |
except subprocess.CalledProcessError as e:
|
496 |
st.error(f"Error running morphing pipeline: {e}")
|
497 |
+
st.session_state.processing = False
|
498 |
+
st.session_state.process_complete = False
|
|
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|
|
|
|
|
|
|
|
|
499 |
|
500 |
+
except Exception as e:
|
501 |
+
st.error(f"An error occurred during processing: {e}")
|
502 |
+
st.session_state.processing = False
|
503 |
+
st.session_state.process_complete = False
|
504 |
|
505 |
if __name__ == "__main__":
|
506 |
main()
|