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Update README.md
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Update README.md
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Fix missing dependencies
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Fix app path
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Merge branch 'main' of https://huggingface.co/spaces/Romanchello-bit/Sales-AI-Core
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Update README.md
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Update README.md
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Create README.md
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initial commit
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Duplicate from streamlit/streamlit-template-space
Verified signatureCo-authored-by: Franck Abgrall <FranckAbgrall@users.noreply.huggingface.co>c1ba5db -
Add runtime.txt to force environment rebuild
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Finalize app and fix all dependencies
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Implement scenario simulation and analytics logic
Added full logic for scenario simulation, customer persona generation, transcript analysis, and phrase analytics in colosseum.py. Database write and read functions in database.py are now fully implemented, supporting scenario, simulation, and phrase analytics management. Improved graph traversal and path prediction in engine.py. Updated app.py to support new analytics, graph visualization, and streamlined UI logic for CRM and Colosseum modes.1cbada8 -
Restore and enhance CRM and simulation logic
Restores full CRM mode UI and logic in app.py, including call setup, chat flow, and dashboard analytics. Adds detailed simulation progress reporting and post-batch analytics to Evolution Hub, with improved batch simulation handling in colosseum.py via a progress callback and structured report generation. Refactors scenario and transcript analysis for better integration and user feedback.5698c85 -
Refactor AI model usage and caching across modules
Centralizes generative model instantiation and caching in app.py, passing the model instance to colosseum.py and evolution.py functions. Updates database.py to use Streamlit caching for read operations and separates write functions from caching. Simplifies main app logic and UI, and adapts simulation and evolution functions to accept the model as a parameter for improved resource management and modularity.97e7d6b -
Add Colosseum and Evolution Hub modules
Introduces colosseum.py and evolution.py for AI-driven sales scenario simulation and evolutionary optimization. Updates app.py to support new modes, refactors database.py to support scenario, simulation, and phrase analytics tables, and integrates new functions for scenario management and analytics.1eea1b0
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Update app.py
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Update requirements.txt
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Migrate lead storage to SQLite and enhance analytics
Replaces CSV and Google Sheets lead storage with a new SQLite-based database module. Updates lead saving and analytics logic in app.py and leads_manager.py to use the new database. Adds archetype analytics and product info scraping features to the dashboard. Refactors sentiment-based graph weighting in sellme_pro.py for clarity and efficiency.d32f83a -
Add migration state XMLs and update misc.xml
Added migration state XML files for agent, ask, ask2agent, and edit components in .idea. Updated misc.xml to include Black component and set Python SDK to 3.13.ebaa6d1 -
Add product context and graph connectivity features
Introduces product_info to session state and injects product context into response and greeting generation for more tailored sales interactions. Refactors UI for product/service setup, streamlines code comments, and adds a check_connectivity method to Graph for verifying graph connectivity in Math Lab. Minor UI and logic improvements throughout for clarity and maintainability.be83ac2 -
Refactor Bellman-Ford matrix implementation and benchmarks
Updated bellman_ford_matrix to accept adjacency matrices directly and simplified its logic. Enhanced the scientific benchmarking in experiments.py to compare adjacency list vs matrix implementations, including improved timing and result reporting. Updated app.py UI to support scientific experiments, visualization, and analysis of both Bellman-Ford variants.0079b07 -
Update app.py
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Add computational math lab and benchmarking features
Introduces a new 'Math Lab' mode in the app with random graph generation and Bellman-Ford algorithm benchmarking. Adds experiments.py for scientific graph generation and benchmarking utilities, and extends Graph class with adjacency matrix conversion and population methods.1294291 -
Refine intent analysis and lead data export
Updated intent analysis logic in app.py to enforce 'never give up' objection handling and clarified rules for MOVE, STAY, and EXIT. Improved lead export in leads_manager.py by adding an 'AI Insights' column and using escaped newlines in transcripts. Removed ambiguous transitions from 'hook_rejection' in sales_script.json for clearer flow.5e404a3 -
Add RL training and enhance analytics dashboard
Introduced a reinforcement learning module to analyze past call transcripts and adjust graph edge weights for improved AI sales strategy. Enhanced the dashboard with a training button, detailed call inspector, and improved metrics. Updated leads_manager to store full call transcripts for learning. Refactored sales_script.json to expand sales stages, add new nodes and edges, and update weights for more granular conversation flow.84f1fc6 -
Refactor response and greeting generation logic
Unified and enhanced the prompt construction for generate_response to support more flexible, instruction-driven replies with improved tone and brevity adaptation. Simplified generate_greeting to use a single prompt with context-based branching, and updated both functions for clearer structure and error handling.5fa037a -
Enhance response generation and add lead history check
Improved the generate_response and generate_greeting functions to better tailor responses and greetings based on lead context (cold, warm, follow-up) and archetype, with more concise and context-aware instructions. Added a UI feature to check client history in Google Sheets during setup, automatically updating context if a previous interaction is found.c29d5e6 -
Update app.py
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Merge branch 'main' of https://github.com/Romanchello-bit/Sales-AI-Core
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Update leads_manager.py
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Add gspread and oauth2client
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Added Dev Container Folder
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Add dynamic AI-generated greeting for first message
Introduced a generate_greeting function to create a more natural, context-aware first message using AI, based on lead and call type (B2B/B2C). Updated the setup page to collect the manager's name and improved Ukrainian localization. Modified the chat flow to use the AI-generated greeting as the initial assistant message, and updated the sales script's start node to provide a more detailed instruction for the greeting.f87d5e7 -
sellme_v2
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Update app.py
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Update app.py
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Update app.py
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Update app.py
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sellme_v1
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gemini api added
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first big update lmao
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main core
main core done but without sales4919e19 -
just create a new file
just create a new file1c7b439 -
Initial commit
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