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Update app.py
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app.py
CHANGED
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@@ -2,55 +2,48 @@ import os
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import gradio as gr
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from groq import Groq
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#
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# Groq Client
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#
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client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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#
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#
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#
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# -------------------------------
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# Chat function (NON-streaming)
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# -------------------------------
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def chat_with_bot(user_input, history):
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messages = [
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{
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"role": "system",
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"content": (
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"You are an expert in storyboarding. "
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"
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)
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}
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]
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for user, assistant in history:
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if assistant:
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messages.append({"role": "assistant", "content": assistant})
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messages.append({"role": "user", "content":
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model="llama-3.3-70b-versatile",
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messages=messages,
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temperature=1,
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max_completion_tokens=512,
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top_p=1,
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stream=False,
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)
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history.append((
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return history
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#
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# Storyboard Generator
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#
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def
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if not scenario.strip():
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return "Please enter a scenario."
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@@ -58,11 +51,9 @@ def generate_storyboard(scenario):
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{
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"role": "system",
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"content": (
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"
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"Columns:\n"
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"
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"- Scenario (problem + product/feature)\n"
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"- Storyline (visual description + purpose)\n\n"
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"Return ONLY the table."
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)
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},
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@@ -72,51 +63,48 @@ def generate_storyboard(scenario):
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}
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]
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model="llama-3.3-70b-versatile",
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messages=messages,
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temperature=1,
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max_completion_tokens=700,
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top_p=1,
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stream=False,
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)
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return
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#
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# UI
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#
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with gr.Blocks() as demo:
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gr.Markdown("# ๐ Storyboard Assistant")
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with gr.Tabs():
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# ---- Chat Tab ----
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with gr.TabItem("๐ฌ Chat"):
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chatbot = gr.Chatbot(height=400)
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user_input = gr.Textbox(
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placeholder="Ask
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)
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inputs=[user_input, chatbot],
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outputs=
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)
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# ---- Storyboard Tab ----
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with gr.TabItem("๐ Generate Storyboard"):
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label="Scenario",
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placeholder="A student using an AI planner to manage exams"
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)
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output = gr.Markdown()
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inputs=
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outputs=output
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)
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import gradio as gr
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from groq import Groq
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# -------------------------------------------------
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# Groq Client
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# -------------------------------------------------
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client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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# -------------------------------------------------
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# Chat Function (Groq mode, non-streaming)
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# -------------------------------------------------
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def chat_fn(message, history):
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messages = [
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{
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"role": "system",
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"content": (
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"You are an expert in storyboarding. "
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"Give clear, structured, and visual guidance."
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)
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}
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]
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# Rebuild conversation from Gradio history
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for user, assistant in history:
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messages.append({"role": "user", "content": user})
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messages.append({"role": "assistant", "content": assistant})
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messages.append({"role": "user", "content": message})
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=messages,
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temperature=1,
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max_completion_tokens=512,
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top_p=1,
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)
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assistant_reply = response.choices[0].message.content
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history.append((message, assistant_reply))
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return history
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# -------------------------------------------------
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# Storyboard Generator
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# -------------------------------------------------
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def storyboard_fn(scenario):
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if not scenario.strip():
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return "Please enter a scenario."
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{
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"role": "system",
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"content": (
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"Create a storyboard as a MARKDOWN TABLE with EXACTLY 6 scenes.\n\n"
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"Columns:\n"
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"Scene | Scenario (problem + product/feature) | Storyline (visual + purpose)\n\n"
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"Return ONLY the table."
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)
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},
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}
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]
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=messages,
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temperature=1,
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max_completion_tokens=700,
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top_p=1,
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)
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return response.choices[0].message.content
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# -------------------------------------------------
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# UI
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# -------------------------------------------------
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with gr.Blocks() as demo:
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gr.Markdown("# ๐ Storyboard Assistant (Groq)")
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with gr.Tabs():
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with gr.TabItem("๐ฌ Chat"):
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chatbot = gr.Chatbot(height=400)
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user_input = gr.Textbox(
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placeholder="Ask about storyboarding..."
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)
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send = gr.Button("Send")
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send.click(
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chat_fn,
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inputs=[user_input, chatbot],
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outputs=chatbot
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)
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with gr.TabItem("๐ Generate Storyboard"):
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scenario = gr.Textbox(
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label="Scenario",
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placeholder="A student using an AI planner to manage exams"
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)
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generate = gr.Button("Generate")
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output = gr.Markdown()
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generate.click(
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storyboard_fn,
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inputs=scenario,
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outputs=output
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)
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