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app.py
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import gradio as gr
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import os
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from groq import Groq
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# Initialize Groq client
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api_key = os.getenv("GROQ_API_KEY")
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client = Groq(api_key=api_key)
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# Function to generate a storyboard using LLM
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def generate_storyboard(scenario):
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if not scenario.strip():
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return "Please provide a scenario to generate the storyboard."
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messages = [
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{"role": "system", "content": "You are an AI storyteller. Generate a storyboard in a structured table with six scenes."},
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{"role": "user", "content": f"Generate a 6-scene storyboard for: {scenario}"}
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]
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completion = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=messages,
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temperature=1,
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max_tokens=1024,
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top_p=1,
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stream=False,
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stop=None,
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)
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return completion.choices[0].message.content
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# Interactive chatbot with streaming response
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def chatbot_stream(user_input):
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messages = [
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{"role": "system", "content": "You are an expert in storyboarding. Answer questions interactively."},
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{"role": "user", "content": user_input}
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]
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completion = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=messages,
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temperature=1,
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max_tokens=1024,
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top_p=1,
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stream=True,
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stop=None,
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)
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response = ""
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for chunk in completion:
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text_chunk = chunk.choices[0].delta.content or ""
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response += text_chunk
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yield {"role": "assistant", "content": response}
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# Gradio UI with enhanced chat interface
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def ui():
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with gr.Blocks(theme=gr.themes.Glass(primary_hue="violet", secondary_hue="emerald", neutral_hue="stone")) as app:
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with gr.Tabs():
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with gr.TabItem("💬Chat"):
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gr.Markdown("# AI Storyboard & Chatbot")
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chatbot = gr.Chatbot(label="Storyboard Chatbot", type="messages")
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with gr.Row():
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chat_input = gr.Textbox(
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label="Your Message",
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placeholder="Type your question here...",
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lines=1
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)
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send_button = gr.Button("✋Ask Question")
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# Quick question examples
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quick_questions = ["How do I structure a storyboard?", "What makes a good visual scene?", "How to add depth to a story?"]
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with gr.Row():
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for question in quick_questions:
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gr.Button(question, variant="secondary").click(lambda q=question: chatbot_stream(q), inputs=None, outputs=chatbot)
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# Chatbot functionality
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send_button.click(
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fn=chatbot_stream,
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inputs=chat_input,
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outputs=chatbot,
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queue=True
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).then(
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fn=lambda: "", # Clear the input box after sending
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inputs=None,
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outputs=chat_input
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)
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with gr.TabItem("📖 Storyboard Generator"):
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gr.Markdown("## Generate a Storyboard")
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scenario_input = gr.Textbox(label="Enter your scenario")
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generate_btn = gr.Button("Generate Storyboard")
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storyboard_output = gr.Textbox(label="Generated Storyboard", interactive=False)
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generate_btn.click(generate_storyboard, inputs=scenario_input, outputs=storyboard_output)
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app.launch()
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ui()
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