Delete app.py

app.py

@@ -1,137 +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 = []
-
-# Function to interact with chatbot
-def chat_with_bot_stream(user_input, temperature, max_tokens, 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= "llama-3.3-70b-versatile",
-        messages=conversation_history,
-        temperature=temperature,
-        max_tokens=max_tokens,
-        top_p=top_p,
-        stream=True,
-        stop=None,
-    )
-    
-    response_content = ""
-    for chunk in completion:
-        response_content += chunk.choices[0].delta.content or ""
-    
-    conversation_history.append({"role": "assistant", "content": response_content})
-    
-    return [(msg["content"] if msg["role"] == "user" else None, 
-             msg["content"] if msg["role"] == "assistant" else None) 
-            for msg in conversation_history]
-
-# Function to generate a storyboard
-def generate_storyboard(scenario):
-    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. For each scene you provide:
-   1) A Scenario text describing what problem a persona is trying to resolve and by using what product or feature.
-   2) Storyline text for each scene, descriptive visual information, and the purpose of the scene.
-   You must provide the output in a structured format like a table.
-        """},
-        {"role": "user", "content": f"Generate a 6-scene storyboard for: {scenario}"}
-    ]
-    
-    completion = client.chat.completions.create(
-        model="llama3-70b-8192",
-        messages=messages,
-        temperature=1,
-        max_tokens=1024,
-        top_p=1,
-        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>
-"""
-
-with gr.Blocks(theme=gr.themes.Glass(primary_hue="violet", secondary_hue="violet", neutral_hue="stone")) as demo:
-    with gr.Tabs():
-        with gr.TabItem("💬Chat"):
-            gr.HTML(TITLE)
-            chatbot = gr.Chatbot(label="Storyboard Chatbot")
-            
-            with gr.Row():
-                user_input = gr.Textbox(
-                    label="Your Message",
-                    placeholder="Type your question here...",
-                    lines=1
-                )
-                send_button = gr.Button("✋Ask Question")
-            
-            # Example questions
-            gr.Markdown("### Example Questions:")
-            with gr.Row():
-                example_q1 = gr.Button("How do I structure a storyboard?")
-                example_q2 = gr.Button("What are the key elements of a storyboard?")
-                example_q3 = gr.Button("Can you generate an example storyboard?")
-                example_q4 = gr.Button("How does storyboarding help in UX design?")
-            
-            # Parameters for model control
-            gr.Markdown("### Model Parameters:")
-            with gr.Row():
-                temperature = gr.Slider(0.0, 2.0, value=1.0, label="Temperature", step=0.1)
-                max_tokens = gr.Slider(256, 2048, value=1024, label="Max Tokens", step=256)
-                top_p = gr.Slider(0.0, 1.0, value=1.0, label="Top P", step=0.1)
-            
-            # Chatbot functionality
-            send_button.click(
-                fn=chat_with_bot_stream,
-                inputs=[user_input, temperature, max_tokens, top_p],
-                outputs=chatbot,
-                queue=True
-            ).then(
-                fn=lambda: "",
-                inputs=None,
-                outputs=user_input
-            )
-            
-            # Example question functionality
-            example_q1.click(lambda: chat_with_bot_stream("How do I structure a storyboard?", temperature.value, max_tokens.value, top_p.value),
-                             inputs=[],
-                             outputs=chatbot)
-            example_q2.click(lambda: chat_with_bot_stream("What are the key elements of a storyboard?", temperature.value, max_tokens.value, top_p.value),
-                             inputs=[],
-                             outputs=chatbot)
-            example_q3.click(lambda: chat_with_bot_stream("Can you generate an example storyboard?", temperature.value, max_tokens.value, top_p.value),
-                             inputs=[],
-                             outputs=chatbot)
-            example_q4.click(lambda: chat_with_bot_stream("How does storyboarding help in UX design?", temperature.value, max_tokens.value, top_p.value),
-                             inputs=[],
-                             outputs=chatbot)
-        
-        with gr.TabItem("📖 Generate Storyboard"):
-            gr.Markdown("## Generate a Storyboard")
-            scenario_input = gr.Textbox(label="Enter your scenario")
-            generate_btn = gr.Button("Generate Storyboard")
-            storyboard_output = gr.Textbox(label="Generated Storyboard", interactive=False)
-            generate_btn.click(generate_storyboard, inputs=scenario_input, outputs=storyboard_output)
-
-demo.launch()