Upload 2 files
Browse files- app.py +19 -27
- requirements.txt +1 -1
app.py
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@@ -1,12 +1,12 @@
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"""
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PowerPoint Script Generator for HuggingFace Spaces
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Uses HuggingFace Inference API - No local model download required!
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"""
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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import time
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# ============================================================================
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# HUGGINGFACE INFERENCE CLIENT SETUP
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@@ -126,7 +126,7 @@ Begin generating the presentation script now:"""
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# GRADIO INTERFACE FOR HUGGINGFACE SPACES
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# ============================================================================
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def
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"""Create the Gradio UI optimized for HuggingFace Spaces"""
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# Initialize the generator
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@@ -178,8 +178,8 @@ def create_gradio_interface():
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yield script
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# Create
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with gr.Blocks(
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gr.HTML(welcome_html)
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gr.HTML(instructions_html)
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topic_input = gr.Textbox(
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label="π Presentation Topic",
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placeholder="e.g., Introduction to Artificial Intelligence in Healthcare",
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lines=3
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info="Enter the main topic of your presentation"
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)
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num_slides = gr.Slider(
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maximum=10,
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value=5,
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step=1,
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label="π Number of Slides"
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info="How many slides do you need scripts for?"
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)
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audience = gr.Dropdown(
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"Academic researchers"
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],
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value="General audience",
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label="π₯ Target Audience"
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info="Who will be listening to this presentation?"
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)
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tone = gr.Dropdown(
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"Persuasive"
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],
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value="Professional",
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label="π¨ Presentation Tone"
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info="What style should the script have?"
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)
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# Advanced settings
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with gr.Accordion("βοΈ Advanced
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temperature = gr.Slider(
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minimum=0.3,
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maximum=0.9,
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value=0.7,
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step=0.1,
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label="π‘οΈ Temperature"
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info="Higher = more creative, Lower = more focused"
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)
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max_tokens = gr.Slider(
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maximum=3000,
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value=2000,
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step=100,
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label="π Max Tokens"
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info="Maximum length of generated script"
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)
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# Generate button
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generate_btn = gr.Button(
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"π Generate Presentation Script",
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variant="primary"
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size="lg"
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)
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# Example topics
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["Cybersecurity Best Practices for Small Businesses", 6, "Technical professionals", "Technical and detailed"],
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["Building a Strong Company Culture", 5, "Business executives", "Inspirational"]
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],
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inputs=[topic_input, num_slides, audience, tone]
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label="Click any example to load it"
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)
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with gr.Column(scale=1):
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output = gr.Textbox(
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label="Presentation Script",
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lines=30,
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max_lines=35,
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show_copy_button=True,
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placeholder="Your generated presentation script will appear here...\n\nβ±οΈ Generation typically takes 10-30 seconds.",
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)
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# Tips section
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print("="*80)
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# Create and launch the interface
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demo =
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# Launch
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demo.launch(
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"""
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PowerPoint Script Generator for HuggingFace Spaces
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Uses HuggingFace Inference API - No local model download required!
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Compatible with Gradio 4.x and 6.x
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"""
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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# ============================================================================
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# HUGGINGFACE INFERENCE CLIENT SETUP
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# GRADIO INTERFACE FOR HUGGINGFACE SPACES
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# ============================================================================
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def create_interface():
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"""Create the Gradio UI optimized for HuggingFace Spaces"""
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# Initialize the generator
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yield script
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# Create interface using Blocks
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with gr.Blocks(title="PPT Script Generator") as demo:
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gr.HTML(welcome_html)
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gr.HTML(instructions_html)
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topic_input = gr.Textbox(
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label="π Presentation Topic",
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placeholder="e.g., Introduction to Artificial Intelligence in Healthcare",
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lines=3
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)
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num_slides = gr.Slider(
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maximum=10,
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value=5,
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step=1,
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label="π Number of Slides"
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)
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audience = gr.Dropdown(
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"Academic researchers"
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],
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value="General audience",
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label="π₯ Target Audience"
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)
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tone = gr.Dropdown(
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"Persuasive"
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],
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value="Professional",
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label="π¨ Presentation Tone"
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)
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# Advanced settings
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with gr.Accordion("βοΈ Advanced Settings", open=False):
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temperature = gr.Slider(
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minimum=0.3,
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maximum=0.9,
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value=0.7,
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step=0.1,
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label="π‘οΈ Temperature"
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)
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max_tokens = gr.Slider(
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maximum=3000,
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value=2000,
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step=100,
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label="π Max Tokens"
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)
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# Generate button
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generate_btn = gr.Button(
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"π Generate Presentation Script",
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variant="primary"
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)
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# Example topics
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["Cybersecurity Best Practices for Small Businesses", 6, "Technical professionals", "Technical and detailed"],
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["Building a Strong Company Culture", 5, "Business executives", "Inspirational"]
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],
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inputs=[topic_input, num_slides, audience, tone]
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)
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with gr.Column(scale=1):
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output = gr.Textbox(
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label="Presentation Script",
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lines=30,
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placeholder="Your generated presentation script will appear here...\n\nβ±οΈ Generation typically takes 10-30 seconds.",
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interactive=False
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)
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# Tips section
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print("="*80)
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# Create and launch the interface
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demo = create_interface()
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# Launch with appropriate settings
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demo.launch(
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show_error=True
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)
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requirements.txt
CHANGED
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gradio
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huggingface_hub
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gradio>=4.0.0,<5.0.0
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huggingface_hub
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