Update app.py

app.py

@@ -4,36 +4,43 @@ from diffusers import CogVideoXImageToVideoPipeline
 from diffusers.utils import export_to_video, load_image
 import torch
 
-# Streamlit interface for uploading an image and inputting a prompt
-st.title("Image to Video with Hugging Face")
-st.write("Upload an image and provide a prompt to generate a video.")
+st.write("App started.")
 
-# File uploader for the input image
+# Streamlit interface
+st.title("Image to Video with Hugging Face")
 uploaded_file = st.file_uploader("Upload an image (JPG or PNG):", type=["jpg", "jpeg", "png"])
 prompt = st.text_input("Enter your prompt:", "A little girl is riding a bicycle at high speed. Focused, detailed, realistic.")
 
 if uploaded_file and prompt:
     try:
-        # Save the uploaded file to a temporary location
+        # Debugging
+        st.write(f"Uploaded file: {uploaded_file.name}")
+        st.write(f"Prompt: {prompt}")
+
+        # Save uploaded file
+        st.write("Saving uploaded image...")
         with open("uploaded_image.jpg", "wb") as f:
             f.write(uploaded_file.read())
+        st.write("Uploaded image saved successfully.")
 
         # Load the image
+        st.write("Loading image...")
         image = load_image("uploaded_image.jpg")
+        st.write("Image loaded successfully.")
 
-        # Initialize the CogVideoX pipeline
+        # Initialize pipeline
         st.write("Initializing the pipeline...")
         pipe = CogVideoXImageToVideoPipeline.from_pretrained(
             "THUDM/CogVideoX1.5-5B-I2V",
             torch_dtype=torch.bfloat16
         )
-
         pipe.enable_sequential_cpu_offload()
         pipe.vae.enable_tiling()
         pipe.vae.enable_slicing()
+        st.write("Pipeline initialized successfully.")
 
-        # Generate the video
-        st.write("Generating video... this may take a while.")
+        # Generate video
+        st.write("Generating video... This may take a while.")
         video_frames = pipe(
             prompt=prompt,
             image=image,
@@ -43,15 +50,20 @@ if uploaded_file and prompt:
             guidance_scale=6,
             generator=torch.Generator(device="cuda").manual_seed(42),
         ).frames[0]
+        st.write("Video generated successfully.")
 
-        # Export the video
+        # Export video
+        st.write("Exporting video...")
         video_path = "output.mp4"
         export_to_video(video_frames, video_path, fps=8)
+        st.write("Video exported successfully.")
 
-        # Display the video in Streamlit
+        # Display video
         st.video(video_path)
 
     except Exception as e:
         st.error(f"An error occurred: {e}")
+        st.write(f"Debug info: {e}")
 else:
     st.write("Please upload an image and provide a prompt to get started.")
+