Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,6 @@
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def process_dashboard(api_key, pdf_files, language_name, goal_description=None, num_sections=4, model_name=DEFAULT_MODEL, custom_model=None):
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"""Process dashboard PDFs and generate reports (wrapper function for Gradio interface)."""
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# Start a thread to update progress
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@@ -51,4 +52,109 @@ def process_dashboard(api_key, pdf_files, language_name, goal_description=None,
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print(error_message)
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progress_tracker.update(100, error_message)
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progress_tracker.end_processing()
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return None, None, error_message
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return combined_content, output_files, "✅ Analysis completed successfully!"
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# Wrapper function for Gradio interface
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def process_dashboard(api_key, pdf_files, language_name, goal_description=None, num_sections=4, model_name=DEFAULT_MODEL, custom_model=None):
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"""Process dashboard PDFs and generate reports (wrapper function for Gradio interface)."""
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# Start a thread to update progress
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print(error_message)
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progress_tracker.update(100, error_message)
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progress_tracker.end_processing()
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return None, None, error_message
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# Gradio Interface Functions
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def toggle_custom_model(choice):
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"""Toggle visibility of custom model input based on selection."""
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return {"visible": choice == "custom"}
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def refresh_models(api_key):
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"""Refresh the list of available models based on the API key."""
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if not api_key:
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return gr.Dropdown(choices=["meta-llama/llama-4-scout:free", "custom"] + OPENROUTER_MODELS, value="meta-llama/llama-4-scout:free")
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try:
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available_models = get_available_models(api_key)
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return gr.Dropdown(choices=["meta-llama/llama-4-scout:free", "custom"] + available_models, value="meta-llama/llama-4-scout:free")
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except Exception as e:
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print(f"Error refreshing models: {str(e)}")
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return gr.Dropdown(choices=["meta-llama/llama-4-scout:free", "custom"] + OPENROUTER_MODELS, value="meta-llama/llama-4-scout:free")
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# Define the Gradio interface
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with gr.Blocks(title="Dashboard Narrator - Powered by OpenRouter.ai", theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# 📊 Dashboard Narrator - Powered by OpenRouter.ai
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Unlock the hidden stories in your dashboards!<br>
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Dashboard Narrator leverages advanced AI models through OpenRouter.ai to dissect your PDF reports,<br>
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analyze each segment with expert precision, and craft comprehensive insights in your preferred language.<br><br>
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Turn complex data visualizations into clear, strategic recommendations and uncover trends you might have missed.<br>
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From executive summaries to detailed breakdowns, get the full narrative behind your numbers in just a few clicks.<br><br>
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""")
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with gr.Row():
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with gr.Column(scale=1):
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api_key = gr.Textbox(label="OpenRouter API Key", placeholder="Enter your OpenRouter API key...", type="password")
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refresh_btn = gr.Button("🔄 Refresh Available Models", size="sm")
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model_choice = gr.Dropdown(
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choices=["meta-llama/llama-4-scout:free", "custom"] + OPENROUTER_MODELS,
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value="meta-llama/llama-4-scout:free",
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label="Select Model"
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)
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custom_model = gr.Textbox(
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label="Custom Model ID",
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placeholder="Enter custom model ID (e.g., anthropic/claude-3-opus:latest)...",
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visible=False
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)
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language = gr.Dropdown(
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choices=["Italiano", "English", "Français", "Español", "Deutsch"],
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value="English",
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label="Report Language"
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)
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num_sections = gr.Slider(
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minimum=2,
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maximum=10,
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value=4,
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step=1,
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label="Number of Vertical Sections per Dashboard"
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)
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goal = gr.Textbox(
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label="Analysis Goal (optional)",
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placeholder="E.g., Analyze Q1 2024 sales KPIs..."
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)
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pdf_files = gr.File(
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label="Upload Dashboards (PDF)",
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file_types=[".pdf"],
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file_count="multiple"
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)
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analyze_btn = gr.Button("🔍 Analyze Dashboards", variant="primary")
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with gr.Column(scale=2):
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with gr.Tab("Report"):
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output_md = gr.Markdown(label="Analysis Report", value="")
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with gr.Tab("Output Files"):
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output_files = gr.File(label="Download Files")
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output_status = gr.Textbox(label="Progress", placeholder="Upload dashboards and press Analyze...", interactive=False)
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# Progress component doesn't accept label in Gradio 5.21.0
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progress_bar = gr.Progress()
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# Handle model dropdown change
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model_choice.change(
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fn=toggle_custom_model,
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inputs=model_choice,
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outputs=custom_model,
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)
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# Handle refresh models button
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refresh_btn.click(
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fn=refresh_models,
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inputs=api_key,
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outputs=model_choice,
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)
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# Handle analyze button
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analyze_btn.click(
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fn=process_dashboard,
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inputs=[api_key, pdf_files, language, goal, num_sections, model_choice, custom_model],
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outputs=[output_md, output_files, output_status]
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)
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# Launch the app
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if __name__ == "__main__":
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demo.launch()
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