Update app.py

app.py

@@ -53,6 +53,42 @@ t['answer'] = t.response.choices[0].message.content
 
 MAX_VIDEO_SIZE_MB = 35
 
+def process_and_generate_post(video_file, social_media_type):
+    if not video_file:
+        return "Please upload a video file.", None
+
+    try:
+        # Check video file size
+        video_size = os.path.getsize(video_file) / (1024 * 1024)  # Convert to MB
+        if video_size > MAX_VIDEO_SIZE_MB:
+            return f"The video file is larger than {MAX_VIDEO_SIZE_MB} MB. Please upload a smaller file.", None
+
+        # # Insert a video into the table. Pixeltable supports referencing external data sources like URLs
+        t.insert([{
+            "video": video_file,
+            "sm_type": social_media_type
+        }])
+
+        # Retrieve Social media posts
+        social_media_post = t.select(t.answer).tail(1)['answer'][0]
+
+        # Retrieve Audio
+        audio = t.select(t.audio).tail(1)['audio'][0]
+
+        # Retrieve thumbnails
+        thumbnails = frames_view.select(frames_view.frame).tail(4)['frame']
+      
+        # Retrieve Pixeltable Table containing all videos and stored data
+        df_output = t.collect().to_pandas()
+
+        #Display content
+        return social_media_post, thumbnails, df_output, audio
+
+    except Exception as e:
+        return f"An error occurred: {str(e)}", None
+
+MAX_VIDEO_SIZE_MB = 35
+
 def process_and_generate_post(video_file, social_media_type):
     if not video_file:
         return "Please upload a video file.", None
@@ -90,6 +126,20 @@ def process_and_generate_post(video_file, social_media_type):
 # Gradio Interface
 import gradio as gr
 
+footer_md = """
+**Key Pixeltable functionalities demonstrated in this example:**
+
+- Video Data Management: Creating tables and views to store and organize video data.
+- Automated Video Processing: Extracting frames and audio from videos.
+- Data Transformation: Computing and storing metadata, transcriptions, and AI-generated content.
+- AI Integration: Utilizing OpenAI's GPT and Whisper models for transcription and content generation.
+- Custom Functions: Defining user-defined functions (UDFs) for specialized tasks like prompt construction.
+- Data Persistence: Storing transformed data and AI outputs for easy retrieval and analysis.
+- Gradio Integration: Creating an interactive web interface for easy user interaction with Pixeltable's functionalities.
+
+Powered by Pixeltable and OpenAI (gpt-4o-mini-2024-07-18)
+"""
+
 def gradio_interface():
     with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
         gr.Markdown(
@@ -139,6 +189,9 @@ def gradio_interface():
             inputs=[video_input, social_media_type],
             outputs=[output, thumbnail, df_output, audio],
         )
+        
+    gr.Markdown("---")  # Horizontal line for separation
+    gr.Markdown(footer_md)
 
     return demo