Delete app.py

app.py

@@ -1,170 +0,0 @@
-import gradio as gr
-import os
-from groq import Groq
-
-# Initialize Groq client
-api_key = os.getenv("GROQ_API_KEY")
-client = Groq(api_key=api_key)
-
-# Initialize conversation history
-conversation_history = []
-
-def chat_with_bot_stream(user_input, temperature, top_p):
-    global conversation_history
-    conversation_history.append({"role": "user", "content": user_input})
-    
-    if len(conversation_history) == 1:
-        conversation_history.insert(0, {
-            "role": "system",
-            "content": "You are an expert in storyboarding. Provide structured and insightful responses to queries about creating and refining storyboards."
-        })
-    
-    completion = client.chat.completions.create(
-        model="llama3-70b-8192",
-        messages=conversation_history,
-        temperature=temperature,
-        top_p=top_p,
-        max_tokens=1024,
-        stream=True,
-        stop=None,
-    )
-    
-    response_content = ""
-    for chunk in completion:
-        text_chunk = chunk.choices[0].delta.content or ""
-        response_content += text_chunk
-        yield [(msg["content"] if msg["role"] == "user" else None, 
-                msg["content"] if msg["role"] == "assistant" else None) 
-               for msg in conversation_history] + [(user_input, response_content)]
-    
-    conversation_history.append({"role": "assistant", "content": response_content})
-
-# Function to generate a storyboard
-def generate_storyboard(scenario, temperature, top_p):
-    if not scenario.strip():
-        return "Please provide a scenario to generate the storyboard."
-    
-    messages = [
-        {"role": "system", "content": "You are an AI storyteller. Generate a storyboard in a structured table with six scenes."},
-        {"role": "user", "content": f"Generate a 6-scene storyboard for: {scenario}"}
-    ]
-    
-    completion = client.chat.completions.create(
-        model="llama3-70b-8192",
-        messages=messages,
-        temperature=temperature,
-        top_p=top_p,
-        max_tokens=1024,
-        stream=False,
-        stop=None,
-    )
-    return completion.choices[0].message.content
-
-TITLE = """
-<style>
-h1 { text-align: center; font-size: 24px; margin-bottom: 10px; }
-</style>
-<h1>📖 Storyboard Assistant</h1>
-"""
-
-example_scenarios = [
-    "A futuristic cityscape under AI governance.",
-    "A detective solving a mystery in a cyberpunk world.",
-    "A young explorer discovering an ancient civilization.",
-    "A spaceship crew encountering an unknown planet.",
-    "A medieval knight navigating political intrigue."
-]
-
-example_questions = [
-    "How do I create a compelling storyboard?",
-    "What are the key elements of a good visual story?",
-    "How can AI help with storyboarding?",
-    "What are common mistakes in storyboarding?",
-    "How do I structure a scene effectively?"
-]
-
-temperature_component = gr.Slider(
-    minimum=0,
-    maximum=1,
-    value=1,
-    step=0.01,
-    label="Temperature",
-    info="Controls randomness. Lower values make responses more deterministic."
-)
-
-top_p_component = gr.Slider(
-    minimum=0,
-    maximum=1,
-    value=1,
-    step=0.01,
-    label="Top-P Sampling",
-    info="Limits token selection to tokens with a cumulative probability up to P."
-)
-
-with gr.Blocks(theme=gr.themes.Glass(primary_hue="violet", secondary_hue="emerald", neutral_hue="stone")) as demo:
-    with gr.Tabs():
-        with gr.TabItem("💬Chat"):
-            gr.HTML(TITLE)
-            chatbot = gr.Chatbot(label="Storyboard Chatbot", type="messages")
-            with gr.Row():
-                user_input = gr.Textbox(
-                    label="Your Message",
-                    placeholder="Type your question here...",
-                    lines=1
-                )
-                send_button = gr.Button("✋Ask Question")
-            
-            with gr.Accordion("🛠️ Customize Chatbot", open=False):
-                gr.Row([temperature_component, top_p_component])
-            
-            with gr.Accordion("🧪 Example Questions", open=False):
-                example_radio = gr.Radio(
-                    choices=example_questions,
-                    label="Example Queries",
-                    info="Select an example question or enter your own."
-                )
-                example_radio.change(
-                    fn=lambda q: q if q else "No question selected.",
-                    inputs=[example_radio],
-                    outputs=[user_input]
-                )
-            
-            # Chatbot functionality
-            send_button.click(
-                fn=chat_with_bot_stream,
-                inputs=[user_input, temperature_component, top_p_component],
-                outputs=chatbot,
-                queue=True
-            ).then(
-                fn=lambda: "",
-                inputs=None,
-                outputs=user_input
-            )
-        
-        with gr.TabItem("📖 Generate Storyboard"):
-            gr.Markdown("## Generate a Storyboard")
-            scenario_input = gr.Textbox(label="Enter your scenario")
-            example_radio = gr.Radio(
-                choices=example_scenarios,
-                label="Example Scenarios",
-                info="Select an example scenario or enter your own."
-            )
-            generate_btn = gr.Button("Generate Storyboard")
-            storyboard_output = gr.Textbox(label="Generated Storyboard", interactive=False)
-            
-            with gr.Accordion("🛠️ Customize Storyboard", open=False):
-                gr.Row([temperature_component, top_p_component])
-            
-            generate_btn.click(
-                generate_storyboard, 
-                inputs=[scenario_input, temperature_component, top_p_component], 
-                outputs=storyboard_output
-            )
-            
-            example_radio.change(
-                fn=lambda scenario: scenario if scenario else "No scenario selected.",
-                inputs=[example_radio],
-                outputs=[scenario_input]
-            )
-
-demo.launch()