Create app.py

app.py

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+import gradio as gr
+from llm_inference_video import VideoLLMInferenceNode
+import random
+
+title = """<h1 align="center">CineGen: AI Video Prompt Architect</h1>
+<p align="center">Generate cinematic video prompts with technical specifications</p>"""
+
+def create_video_interface():
+    llm_node = VideoLLMInferenceNode()
+
+    with gr.Blocks(theme='bethecloud/storj_theme') as demo:
+        gr.HTML(title)
+        
+        with gr.Row():
+            with gr.Column(scale=2):
+                input_concept = gr.Textbox(label="Core Concept/Thematic Input", lines=3)
+                duration = gr.Slider(15, 600, value=60, label="Duration (seconds)")
+                style = gr.Dropdown(
+                    choices=["Cinematic", "Documentary", "Animation", "Action", "Experimental"],
+                    value="Cinematic",
+                    label="Video Style"
+                )
+                camera_style = gr.Dropdown(
+                    choices=["Steadicam flow", "Drone aerials", "Handheld urgency", "Crane elegance", 
+                           "Dolly precision", "VR 360", "Multi-angle rig"],
+                    value="Steadicam flow",
+                    label="Camera Movement Style"
+                )
+                
+            with gr.Column(scale=2):
+                pacing = gr.Dropdown(
+                    choices=["Slow burn", "Rhythmic pulse", "Frantic energy", "Ebb and flow", "Hypnotic drift"],
+                    value="Rhythmic pulse",
+                    label="Pacing Rhythm"
+                )
+                special_effects = gr.Dropdown(
+                    choices=["Practical effects", "CGI enhancement", "Analog glitches", 
+                           "Light painting", "Projection mapping", "Nanosecond exposures"],
+                    value="Practical effects",
+                    label="SFX Approach"
+                )
+                custom_elements = gr.Textbox(label="Custom Technical Elements", 
+                                           placeholder="e.g., Infrared hybrid, Datamosh transitions")
+                
+                provider = gr.Dropdown(
+                    choices=["Hugging Face", "Groq", "SambaNova"],
+                    value="Hugging Face",
+                    label="LLM Provider"
+                )
+                model = gr.Dropdown(label="Model", value="meta-llama/Meta-Llama-3.1-70B-Instruct")
+
+        generate_btn = gr.Button("Generate Video Blueprint", variant="primary")
+        output = gr.Textbox(label="Video Production Prompt", lines=12, interactive=False)
+
+        generate_btn.click(
+            llm_node.generate_video_prompt,
+            inputs=[input_concept, duration, style, camera_style, pacing, special_effects, 
+                   custom_elements, provider, model],
+            outputs=output
+        )
+
+    return demo
+
+if __name__ == "__main__":
+    demo = create_video_interface()
+    demo.launch(share=True)