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app.py

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+# app.py
+"""
+The Studio v2.6 - Hugging Face Space Application
+Streamlit interface for The Studio v2.6
+"""
+
+import streamlit as st
+import asyncio
+import os
+import json
+from pathlib import Path
+from huggingface_deployment import StudioHFOrchestrator
+
+# Streamlit configuration
+st.set_page_config(
+    page_title="The Studio v2.6 - AI Film Generator",
+    page_icon="🎬",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+def main():
+    st.title("🎬 The Studio v2.6 - Autonomous Film Generator")
+    st.markdown("""
+    Transform your ideas into stunning videos with our AI-powered filmmaking system.
+    Powered by Hugging Face models and advanced consistency protocols.
+    """)
+    
+    # Sidebar configuration
+    with st.sidebar:
+        st.header("⚙️ Configuration")
+        hf_token = st.text_input("Hugging Face Token", type="password", 
+                                help="Get your token from https://huggingface.co/settings/tokens")
+        
+        if hf_token:
+            os.environ["HF_API_TOKEN"] = hf_token
+            st.success("Token set successfully!")
+        
+        st.divider()
+        
+        st.header("🎯 Sample Prompts")
+        sample_prompts = [
+            "A futuristic cityscape at sunset with flying cars and holographic advertisements",
+            "A chef preparing gourmet food in a professional kitchen with dynamic camera movements",
+            "Athletes competing in extreme sports with slow-motion action sequences",
+            "Luxury travel vlog showing exotic locations and cultural experiences",
+            "Fashion runway show with models showcasing designer clothing"
+        ]
+        
+        selected_prompt = st.selectbox("Choose a sample prompt:", sample_prompts)
+        
+        if st.button("Use Selected Prompt"):
+            st.session_state.prompt = selected_prompt
+    
+    # Main content area
+    col1, col2 = st.columns([2, 1])
+    
+    with col1:
+        st.header("📝 Enter Your Video Prompt")
+        
+        if 'prompt' not in st.session_state:
+            st.session_state.prompt = ""
+        
+        prompt = st.text_area(
+            "Describe the video you want to create:",
+            value=st.session_state.prompt,
+            height=200,
+            placeholder="Example: A futuristic tech conference with holographic displays, showing the latest AI innovations, people interacting with virtual interfaces, dynamic camera movements capturing the excitement..."
+        )
+        
+        title = st.text_input("Video Title:", "My AI Generated Video")
+        
+        if st.button("🎬 Generate Video", type="primary", disabled=not prompt or not hf_token):
+            if not hf_token:
+                st.error("Please enter your Hugging Face token in the sidebar!")
+                return
+            
+            with st.spinner("🎨 Creating your video masterpiece... This may take a few minutes..."):
+                try:
+                    # Initialize orchestrator
+                    orchestrator = StudioHFOrchestrator(hf_token)
+                    
+                    # Generate video
+                    result = asyncio.run(
+                        orchestrator.generate_video_from_prompt(prompt, title)
+                    )
+                    
+                    if result['status'] == 'completed':
+                        st.success("🎉 Video generation completed successfully!")
+                        
+                        # Display the generated video
+                        video_file = open(result['video_path'], 'rb')
+                        video_bytes = video_file.read()
+                        st.video(video_bytes)
+                        
+                        # Show metadata
+                        with st.expander("📋 Generation Details"):
+                            st.json(result)
+                            
+                    else:
+                        st.error(f"❌ Video generation failed: {result.get('error', 'Unknown error')}")
+                        
+                except Exception as e:
+                    st.error(f"❌ An error occurred: {str(e)}")
+    
+    with col2:
+        st.header("📈 Generation Stats")
+        
+        # Create some mock stats
+        st.metric("Videos Generated", "247", "12+ today")
+        st.metric("Success Rate", "94%", "+3% from last week")
+        st.metric("Avg. Generation Time", "3.2 min", "-0.4 min from last week")
+        
+        st.divider()
+        
+        st.header("💡 Tips for Best Results")
+        st.caption("• Be specific about visual elements and camera movements")
+        st.caption("• Mention lighting, mood, and atmosphere")
+        st.caption("• Include character descriptions if people are involved")
+        st.caption("• Specify duration or number of scenes if needed")
+        
+        st.divider()
+        
+        st.header("🔧 Advanced Options")
+        duration = st.slider("Estimated Duration (seconds)", 10, 60, 30)
+        style = st.selectbox("Video Style", ["Cinematic", "Documentary", "Commercial", "Artistic", "Dynamic"])
+        
+        st.divider()
+        
+        if st.button("💾 Download Project"):
+            # Create a project bundle
+            project_data = {
+                "title": title,
+                "prompt": prompt,
+                "style": style,
+                "duration": duration,
+                "generated_at": str(Path.home())
+            }
+            
+            st.download_button(
+                label="Download Project JSON",
+                data=json.dumps(project_data, indent=2),
+                file_name=f"{title.replace(' ', '_')}_project.json",
+                mime="application/json"
+            )
+
+if __name__ == "__main__":
+    main()