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Browse files- app.py +152 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from huggingface_hub import hf_hub_download
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from llama_cpp import Llama
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import os
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# Model configuration
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MODEL_REPO = "tiiuae/Falcon3-1B-Instruct-GGUF"
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MODEL_FILE = "falcon3-1b-instruct-q4_k_m.gguf"
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# Download and load model
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print("Downloading model...")
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model_path = hf_hub_download(
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repo_id=MODEL_REPO,
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filename=MODEL_FILE,
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cache_dir="./models"
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)
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print("Loading model...")
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llm = Llama(
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model_path=model_path,
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n_ctx=2048,
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n_threads=4,
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n_gpu_layers=0 # Set to higher value if GPU available
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)
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def generate_ppt_script(topic, num_slides=5, temperature=0.7, max_tokens=1500):
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"""Generate a PowerPoint presentation script for the given topic."""
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prompt = f"""You are a professional presentation writer. Create a detailed PowerPoint presentation script for the topic: "{topic}"
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Generate a script with {num_slides} slides. For each slide, provide:
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1. Slide number and title
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2. Key points to include (3-5 bullet points)
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3. Speaker notes/talking points
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Format the output clearly with slide numbers and sections.
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Presentation Script:"""
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# Generate response
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output = llm(
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prompt,
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=0.9,
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repeat_penalty=1.1,
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stop=["</s>", "User:", "Human:"],
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echo=False
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)
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response = output['choices'][0]['text'].strip()
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return response
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def create_interface():
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"""Create the Gradio interface."""
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with gr.Blocks(theme=gr.themes.Soft(), title="PPT Script Generator") as demo:
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gr.Markdown(
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"""
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# 📊 PowerPoint Script Generator
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### Powered by Falcon3-1B-Instruct
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Generate professional presentation scripts for any topic using AI.
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Simply enter your topic and get a complete slide-by-slide script!
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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topic_input = gr.Textbox(
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label="Presentation Topic",
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placeholder="e.g., 'Introduction to Artificial Intelligence', 'Climate Change Solutions', 'Digital Marketing Strategies'",
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lines=2
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)
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with gr.Row():
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num_slides = gr.Slider(
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minimum=3,
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maximum=10,
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value=5,
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step=1,
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label="Number of Slides"
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)
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temperature = gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.7,
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step=0.1,
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label="Creativity (Temperature)"
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)
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max_tokens = gr.Slider(
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minimum=500,
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maximum=3000,
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value=1500,
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step=100,
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label="Maximum Length (tokens)"
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)
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generate_btn = gr.Button("🎯 Generate Script", variant="primary", size="lg")
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gr.Markdown(
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"""
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### Tips:
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- Be specific with your topic for better results
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- Use 5-7 slides for standard presentations
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- Higher temperature = more creative output
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- Adjust max tokens if output is cut off
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"""
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)
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with gr.Column(scale=2):
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output = gr.Textbox(
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label="Generated Presentation Script",
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lines=25,
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show_copy_button=True
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)
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# Examples
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gr.Examples(
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examples=[
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["Introduction to Machine Learning", 5, 0.7, 1500],
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["The Future of Renewable Energy", 6, 0.8, 1800],
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["Effective Team Management Strategies", 5, 0.7, 1500],
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["Blockchain Technology Explained", 7, 0.7, 2000],
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["Mental Health in the Workplace", 5, 0.6, 1500],
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],
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inputs=[topic_input, num_slides, temperature, max_tokens],
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label="Example Topics"
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)
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# Connect the button to the function
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generate_btn.click(
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fn=generate_ppt_script,
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inputs=[topic_input, num_slides, temperature, max_tokens],
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outputs=output
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)
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gr.Markdown(
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"""
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---
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**Note:** This app uses the Falcon3-1B-Instruct model in GGUF format for efficient CPU inference.
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Generation may take 30-60 seconds depending on the length requested.
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"""
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)
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return demo
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if __name__ == "__main__":
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demo = create_interface()
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demo.launch(server_name="0.0.0.0", server_port=7860)
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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gradio>=4.0.0
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llama-cpp-python==0.2.90
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huggingface-hub>=0.19.0
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