Gradioproiecte

...Llama 3.x+, etc. Vector stores: Pinecone, Weaviate, pgvector, Qdrant Observability & evals: LangSmith, Ragas, promptfoo, guardrails Deployment: Vercel, Modal, , Cloudflare Workers, serverless Integrations: Stripe (escrow), Twilio/SMS, Google Calendar, third-party APIs Nice to have: Real-time features (WebRTC) Light frontend ( / Remix / SvelteKit) or rapid prototyping tools (Streamlit/Gradio) Previous work in real estate, marketplace, or field-service platforms How to bid: State clearly: “Applying as Individual” or “Applying as Team” (list team members & primary strengths) Share 2–3 relevant projects (live links, GitHub repos, or short case studies) that demonstrate agentic AI workflows, RAG, or complex tool-calling systems In 2–3 se...

...model causal dependencies between image and text features. ​Explainability: The system must output: ​Grad-CAM heatmaps for X-ray visual explanation. ​SHAP/LIME scores for text importance. ​Dataset: Train on MIMIC-CXR (primary) and test robustness on PadChest or NIH ChestX-ray14. ​Deliverables ​A. Working Code & Frontend ​Complete Python source code (PyTorch/TensorFlow). ​Basic Frontend (Gradio/Streamlit): A web interface to upload an X-ray image and paste a clinical report to see: ​Predicted Disease Label. ​Confidence Score. ​Visual Heatmap (Grad-CAM) & Text Highlights. ​Instructions/Readme to run the project locally. ​B. Research Paper ​Full paper drafting (Abstract to Conclusion). ​Target: IEEE JBHI or Medical Image Analysis standard. ​Plagiarism: Must be unde...

...4. Determine gender or style: men, women, unisex, unknown. 5. Generate a JSON work order following the provided schema. 6. Print a master invoice and per-item tags in ZPL format with barcodes. Preferred Technical Stack Detection: YOLOv8 or YOLO11-seg or equivalent Automation: Make (Integromat) or Zapier connected to Google Drive, Google Sheets, and PrintNode or QZ Tray Demo App: Streamlit or Gradio with optional offline ONNX runtime Printing: Zebra ZD-series or compatible thermal printer Mock POS API: endpoints /workorders and /print with Swagger and Postman documentation **Deliverables** 1. Trained detection and classification models (mAP ≥ 0.85, color accuracy ≥ 0.90) 2. Working end-to-end automation from photo to printed labels in under 6 seconds 3. Local demo app ...

...an audio clip of up to 30 seconds, automatically extracts the bassline, and returns a notes-only MIDI file. I don’t need a brand-new model; combining proven open-source blocks such as Demucs, Basic Pitch, or any comparable tool is fine. What matters most is a user-friendly interface. A simple, responsive frontend in plain HTML with Tailwind or a Gradio UI meets the need. On the back end, FastAPI is preferred, yet keeping the whole flow in Gradio is acceptable if it simplifies delivery. Core scope • Accept WAV or MP3 upload and show clear progress while processing. • Separate stems, detect the bassline, and convert it to MIDI. • Offer the finished .mid file for download. • Provide clean, readable code plus a straight-forward README for loca...

...summary output). Optionally allows to “save” or “view all results” (mocked). Technical Details The AI detection script is already available (you will get it and just call it). No filesystem access or uploads needed — images can be stored locally or hardcoded. Should just look like a smartphone app (mobile-style layout). Technologies flexible: can be done with Python (Tkinter, Streamlit, Gradio, Flask) or web technologies (HTML/CSS/JS). Design Requirements Modern and minimal UI Simple animations or transitions between views Smartphone-like aspect ratio Estimated Time & Budget Estimated time: ~3 hours (using AI-assisted development) Budget: $30 / €25 max Deliverables Working prototype showcasing real AI damage detection Clean,...

...cases and error handling - Robustness testing ### 5. Chatbot Interface Requirements The model should be deployable as an interactive assistant with: **Conversational Capabilities:** - Multi-turn conversation support - Context retention across dialogue sessions - Reference resolution to previous exchanges - State tracking and memory management **Interface Features:** - Web-based chat interface (Gradio/Streamlit preferred) - Session persistence and history - Command export functionality - Real-time validation feedback - Context-aware auto-suggestions - Upload to HF spaces **Deployment Requirements:** - Containerized deployment (Docker) - Local deployment scripts - Cloud deployment options (Hugging Face Spaces) - REST API endpoints - Documentation for integration ### 6. Deliver...

We are developing cutting-edge AI prototypes involving real-time video and voice processing, fine-tuning of advanced language models, and edge deployment optimization. Should include the proof of experience. Long-term collaboration opportunity. # What We're Looking For - A skilled AI/ML engineer who can work independently on complex deep learning projects ...Version Control & Team Development: Experience with Git version control and collaborative team development - Deployment of edge functions on Supabase, Vercel - Experience with using AI-guided coding like Cursor, Windsurf - Hugging Face Experience: Practical experience with Hugging Face Transformers and Datasets # Proof of experience Link to a RAG system you've built (GitHub/deployed app) Link to a Gradio app you&...

...seeking an experienced Python developer with strong LLM expertise to build an initial functional concept (prototype). ⸻ Responsibilities: • Build a pipeline to transform unstructured text data into structured formats (e.g., JSON, YAML). • Integrate these structured data sets with a Large Language Model (LLM) via LangChain or LlamaIndex. • Develop a simple chat interface (e.g., using Streamlit or Gradio). • Implement data storage and retrieval through a database or vector database (e.g., Chroma, FAISS, Pinecone). • Conduct testing and documentation of the workflow. ⸻ Requirements: • Strong proficiency in Python. • Hands-on experience with LangChain or LlamaIndex. • Experience using OpenAI API or similar LLM frameworks. • Un...

...migrating the application to a web-based platform hosted as a demo on Replit. All work will be conducted through live, collaborative daily working sessions using Replit’s collaborative IDE, ensuring real-time client involvement and transparency. No independent work will occur outside these sessions. The application will initially be a standalone desktop program using a Python GUI library (e.g., Gradio or Tkinter for simplicity) and later migrated to a web framework (e.g., Streamlit) for Part 2. The goal is to create an intuitive interface for data input, processing, and visualization, with UI elements positioned over a provided .png image (e.g., a diagram or map) to align with its features. The final deliverable includes a fully functional desktop application and a web-host...

AI Chatbot Pro – TinyLlama Edition (Streaming + Memory) This project delivers a **production-grade conversational AI chatbot** powered by TinyLlama 1.1B + Transformers, with streaming replies, memory...This project delivers a **production-grade conversational AI chatbot** powered by TinyLlama 1.1B + Transformers, with streaming replies, memory support, and customizable generation settings. Key Features: • Real-time streaming responses • Adjustable generation (temperature, top-p, max tokens) • Conversation memory with reset option • Clean UI (Gradio) • Deployed on Hugging Face Spaces Tech Stack: Python, PyTorch, Transformers, Gradio, GitHub Actions, Hugging Face Use Cases: - Business automation & support - Educational or person...

...GPUs; Dockerised setup or Colab notebook is fine. • Clear documentation covering model weights, dependencies, and a quick-start guide so I can generate new images immediately after hand-over. • At least ten sample renders that show the range of styles the model can achieve. Optional but welcome – LoRA or DreamBooth instructions so I can inject my own characters later. – Simple web UI (Gradio or Streamlit) for point-and-click generation. I’m open on stylistic direction, characters versus themes, and final deployment method—the main goal is professional-grade anime imagery on demand. Let me know what dataset strategy, training hardware, and safety measures you propose, plus an estimated timeline for milestones such as data curation, train...

...categorical handling, etc.), then train and tune a regression model—XGBoost is my first choice, though I’m open to seeing comparative results from alternatives if you believe they add value. Model quality should be demonstrated with R², MSE, and any other metrics that highlight over-/underfitting or bias. Once we’re happy with the metrics, wrap the predictor in a lightweight web UI built in either Gradio or Streamlit. The interface must allow users to supply pickup/drop-off coordinates, timestamps, passenger count, and instantly receive a fare estimate. Finally, deploy the app publicly. I have no fixed preference between Hugging Face Spaces, Google Cloud, or another reliable host, so choose whichever lets us launch quickly while keeping costs sensible and...

...and emotion analysis systems using machine learning and BERT. My team and I specialize in creating text-based AI tools, and we can provide real-time predictions through a Gradio interface. Key Requirements: - Develop text-based AI tools for analyzing social media posts - Focus on Twitter as the primary platform for data analysis - Ensure real-time prediction capabilities via a user-friendly interface Ideal Skills and Experience: - Expertise in natural language processing and machine learning - Proficiency with BERT and other advanced NLP models - Experience in developing real-time data analysis tools - Familiarity with Gradio for creating interactive interfaces If you're looking for a robust NLP solution to analyze Twitter data, let's collaborate to build a to...

...parsing and answer option extraction using regex and AI heuristics --- WHAT WE NEED: Clean and modularize the existing code Improve OCR accuracy and performance (multi-variant preprocessing) Detect and extract MCQs: → Question number + text → 4 multiple-choice options (A, B, C, D) Return structured JSON/CSV output with metadata (Optional) Build a minimal frontend (e.g. Streamlit / Flask / Gradio) to upload PDFs and view results live --- REQUIRED TECH STACK: • Python 3.10+ • OCR: Tesseract, EasyOCR, TrOCR (HuggingFace Transformers) • PyMuPDF (fitz), OpenCV, NumPy, PIL • Regular expressions for parsing logic • (Bonus) Experience with LLMs or GPT APIs for smart validation --- BUDGET & TIMELINE: • Budget: €400 to €...

...Compatibility Index (UCI): A scoring algorithm that summarizes how well the new project harmonizes with the existing urban system, structurally and spatially Ideal Candidate: Hands-on experience with GAN models (especially Pix2Pix / CycleGAN) Strong Python skills (image processing, ML models) Familiarity with urban or spatial data (even basic understanding) Ability to develop simple web-based UI (Gradio, Streamlit, or equivalent) Clear documentation and communication. This project is part of a formal academic thesis and will be used for both demonstration and evaluation. You may be credited in the thesis if you wish. Please include links to past projects involving generative models or urban/spatial work. Proposals without proven GAN experience will not be considered....

...layout template (e.g., packaging dieline). - Ensure outputs meet basic specifications (aspect ratio, resolution, export format). - Collaborate with product and design teams to fine-tune the prompt engineering and output handling process. - Implement basic session management for user uploads and outputs. Required Skills & Experience - Proven experience with Python and frameworks like Streamlit, Gradio, or similar. Hands-on experience with OpenAI tools, especially DALL·E 3 and ChatGPT APIs. Experience with image manipulation libraries (e.g., PIL, OpenCV, or similar). Familiarity with design principles, especially for print (e.g., CMYK, resolution, bleed). Strong understanding of prompt engineering for creative outputs. Ability to convert AI-generated images into structu...

...will be part of a larger spiritual mobile/web app project. Tasks: Deploy Linly-Talker on a cloud GPU server (e.g. RunPod, , etc.) Install and configure: Whisper (speech-to-text) GPT logic (via local model or API) TTS engine (e.g., So-VITS, Bark, or your suggestion) SadTalker or other lipsync/mimic tool Integrate a custom avatar image and custom voice if possible Ensure a working Gradio interface or REST API is exposed Optional: screen sharing (AnyDesk/Zoom/Meet) during setup for collaboration Requirements: Proven experience with AI voice/character pipelines Familiarity with Python, Conda, and GPU-based environments Bonus: experience with spiritual or wellness-related projects Ability to explain setup steps clearly Deliverables: Fully working Linly-Talker syste...

...will be part of a larger spiritual mobile/web app project. Tasks: Deploy Linly-Talker on a cloud GPU server (e.g. RunPod, , etc.) Install and configure: Whisper (speech-to-text) GPT logic (via local model or API) TTS engine (e.g., So-VITS, Bark, or your suggestion) SadTalker or other lipsync/mimic tool Integrate a custom avatar image and custom voice if possible Ensure a working Gradio interface or REST API is exposed Optional: screen sharing (AnyDesk/Zoom/Meet) during setup for collaboration Requirements: Proven experience with AI voice/character pipelines Familiarity with Python, Conda, and GPU-based environments Bonus: experience with spiritual or wellness-related projects Ability to explain setup steps clearly Deliverables: Fully working Linly-Talker syste...

...compares a general-purpose AI model (like GPT) with a customized intelligent agent on tasks involving bias detection, cybersecurity defense, and transparency. Expected Skills: • Python (required) • TensorFlow or Scikit-learn • LIME or SHAP (for model explainability) • Snort / Wireshark (cybersecurity simulation) • Experience with sandbox environments (Docker / VirtualBox) • Streamlit or Gradio (for dashboard interface) Deliverables: • Two working AI models (general and specialized) • A sandboxed test environment • Evaluation metrics (accuracy, fairness score, threat detection) • Simple interactive dashboard for result display Need documentation , testing , code configuration , screenshots. Video If ne...

...compares a general-purpose AI model (like GPT) with a customized intelligent agent on tasks involving bias detection, cybersecurity defense, and transparency. Expected Skills: • Python (required) • TensorFlow or Scikit-learn • LIME or SHAP (for model explainability) • Snort / Wireshark (cybersecurity simulation) • Experience with sandbox environments (Docker / VirtualBox) • Streamlit or Gradio (for dashboard interface) Deliverables: • Two working AI models (general and specialized) • A sandboxed test environment • Evaluation metrics (accuracy, fairness score, threat detection) • Simple interactive dashboard for result display Need documentation , testing , code configuration , screenshots. Video If ne...

I need a skilled web developer to create an online workshop platform. The platform will showcase various training sessions and include interactive quizzes for user engagement. Key Requirements: - User-friendly interface for easy navigation - Section for showcasing trainings - Interactive quizzes integration Ideal Skills and Experience: - Web development expertise, particularly in MongoDB and Gradio as main interface - Experience in building educational platforms or similar - Strong UI/UX design skills - Ability to integrate interactive elements like quizzes Looking for a professional who can deliver a high-quality, functional, and engaging platform within budget.

...respond to queries about our company. For this project, we will be using the voice model from as input and Google TTS for output (in Bengali). We will also fine-tune the model using our company information. Key responsibilities include: 1. Setting up and installing the model on the server. 2. Adjusting parameters to ensure accurate output. 3. Setting up a basic UI (Gradio web UI or similar). 4. Integrating voice input/output APIs. 5. Managing the speed of input/output. Ideal skills and experience: - Proficiency in server management (Linux preferred). - Experience with AI model deployment and fine-tuning. - Familiarity with voice input/output integration. - Basic UI development skills. - Knowledge of input/output speed management. Please share your relevant experience

I need a freelancer to optimize the style of my single-page Python Gradio interactive dashboard app. Requirements: - Modern, minimalistic design - Warm color scheme (reds, oranges, yellows) - Responsive layout Ideal Skills: - Proficiency in Python and Gradio - Strong UI/UX design experience - Expertise in creating responsive web applications

...Looking For: You should be able to: Propose and implement a scalable, efficient solution Integrate with services like Google Drive (optional) Make use of an LLM or embeddings to return context-aware answers Store and query documents in a way that makes chat responses reliable and fast Deliverables: A chatbot that responds to my queries based on uploaded content A simple UI (could be Streamlit, Gradio, or web-based) A training/ingestion method that I can reuse when I add more documents Desired Skills: Experience with OpenAI or similar LLM APIs Familiarity with document parsing (.pdf, .txt, .docx) Knowledge of vector databases, embedding techniques, or retrieval-based systems Bonus: Experience with Google Drive integration or automation...

...Looking For: You should be able to: Propose and implement a scalable, efficient solution Integrate with services like Google Drive (optional) Make use of an LLM or embeddings to return context-aware answers Store and query documents in a way that makes chat responses reliable and fast Deliverables: A chatbot that responds to my queries based on uploaded content A simple UI (could be Streamlit, Gradio, or web-based) A training/ingestion method that I can reuse when I add more documents Desired Skills: Experience with OpenAI or similar LLM APIs Familiarity with document parsing (.pdf, .txt, .docx) Knowledge of vector databases, embedding techniques, or retrieval-based systems Bonus: Experience with Google Drive integration or automation...

We are a startup with a working AI prototype built using the Gradio library. Our goal is to create a polished and realistic product demo video that showcases how the final product will look and work — even though the current prototype is still basic. What we need: A 60–90 second product demo video. UI mockup animations that simulate a real product interface (not just Gradio). Smooth transitions, click/typing animations, and browser-like interactions. Voiceover or captions to explain features. Professional look — possibly mimicking a polished SaaS tool. We will provide: A screen recording of the prototype running in Gradio (or live walkthrough). Brief about the product use case and key features. Branding assets (logo, color scheme, etc.) I...

...Looking For: You should be able to: Propose and implement a scalable, efficient solution Integrate with services like Google Drive (optional) Make use of an LLM or embeddings to return context-aware answers Store and query documents in a way that makes chat responses reliable and fast Deliverables: A chatbot that responds to my queries based on uploaded content A simple UI (could be Streamlit, Gradio, or web-based) A training/ingestion method that I can reuse when I add more documents Desired Skills: Experience with OpenAI or similar LLM APIs Familiarity with document parsing (.pdf, .txt, .docx) Knowledge of vector databases, embedding techniques, or retrieval-based systems Bonus: Experience with Google Drive integration or automation...

I need an AI application set up on an Ubuntu Server, either locally or on a dedicated server. Requirements: - User-friendly interface (e.g., Open UI, Streamlit, Gradio) - Installation of models like Ollama, Mistral, or similar, running entirely on local/private server - Access to multiple language models Ideal Skills & Experience: - Experience with AI model installation and server setup - Proficiency in Ubuntu Server - Knowledge of various AI models and frameworks - Ability to suggest hardware and system requirements Please provide a seamless, efficient setup for tasks like reading files, generating templates, and performing calculations.

...rendering analytical dashboards.   - Tool Integration: Skilled in integrating tools like code interpreters, SQL agents, and custom APIs within agentic workflows.   - Cloud & DevOps (optional but preferred): Experience deploying models and applications on AWS, GCP, or Azure; knowledge of Docker, Git, and CI/CD pipelines.   - Frontend Integration: Experience with UI frameworks such as Streamlit, Gradio, or Flask for building user-facing interfaces.   - Documentation & Collaboration: Ability to document complex workflows and deliver comprehensive setup instructions and user guides.   - Independent Execution: Strong ownership mindset, ability to work independently with minimal supervision, and excellent problem-solving skills....

...processing (30+ FPS) via OpenCV video pipeline Suit/Rank Classification: CNN-based or YOLO-native segmentation Game Analysis: Hand strength estimation, win probability calculation Output: Overlay card labels on video stream + JSON log of detected hands Tech Stack: Backend: Python 3.10, PyTorch, OpenCV, FFmpeg Inference: ONNX/TensorRT for optimized edge deployment (Jetson, Raspberry Pi) UI: Streamlit/Gradio for configuration or native OpenCV display Extensions: Multiplayer Tracking: Assign cards to players via positional analysis Cheat Detection: Flag irregular card movements (e.g., stacking) Target Hardware: Desktop GPU (RTX 3060+) or edge devices (Jetson Nano) for low-latency processing Note: Adapt training data to accommodate varied lighting/angles based on target environmen...

I have a local AI assistant project mostly set up (files, backend model, working base chat). I need someone to: - Add persistent memory using JSON - Improve accuracy, speed, and capacity of memory recall during conversation - Create a user-friendly, responsive UI (like a chat interface, preferably themed) **Tech Stack:** Python, Gradio or HTML/CSS frontend, running locally via WebUI. **Bonus if you’re familiar with:** text-generation-webui, local LLMs, memory systems, secure offline environments. **Deliverables:** - Full working interface with memory saving & recall - Instructions on how to run locally - Clean code I can hand off or maintain Let me know your experience, rough ETA, and cost.

xGradio-based CSV Question Answering and Visualization Application 1. Overview The purpose of this project is to develop a Gradio-based application that allows users to upload a CSV file, ask questions—including numerical queries—about its contents, and receive answers generated by a local Large Language Model (LLM). The application must also support graph plotting, with all visualizations displayed within the Gradio interface. 2. Functional Requirements 2.1 CSV File Handling • File Upload: • The application must allow users to upload CSV files. • Validate the CSV file format and handle parsing errors gracefully. 2.2 Question Answering • User Interaction: • Users should be able to input questions related to the CSV data. • The system ...

I am an experienced IT professional and a Data Sci...applications using LangChain. I am confident that I will be able to help you by developing Streamlit App for Synthetic data generator catering to your requirement. Notable Projects successfully completed: - Conversational AI Chatbot (Rasa/WhatsApp) - Semantic search engine - Recommendation engine - Unsupervised preventive maintenance model - Topic modeling Relevant Skills: - Python - Streamlit/Flask/Gradio - tGPT4o/Llama - SQL - TensorFlow - Google Colab - OpenCV Let's have a chat to understand the project objective and other associated details. I am sure I can be the best fit for your project. I assure you the best quality results and ensure the customer satisfaction. Looking forward to hearing from you soon. Thanks for t...

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...FAQ. 10. GPU Rental Optimization - Cost Optimization: Provide the most economical solution for GPU rental for training. - Platform Selection: Compare major GPU rental platforms (e.g., AWS, Google Cloud, Paperspace) and offer a cost-effectiveness analysis. - Deployment Plan: Ensure efficient utilization and dynamic scheduling of GPU resources. Recommended Technology Stack - Frontend: Gradio, Streamlit, or React.js - Backend: FastAPI - Data Management: MongoDB - Model Training: Hugging Face Transformers, PyTorch - Monitoring and Visualization: TensorBoard Timeline Requirements - Phase 1: Requirement Analysis and Design (1 week) - Requirement confirmation and solution design. - Technology selection and environment setup. - Phase 2: Interface and Basic Fu...

I need help fixing my notebook file for RVC which is intended for voice cloning. The notebook is throwing runtime errors during execution and I need these resolved so I can continue with my project. Key Tasks: - Debug the notebook file to fix errors during exec...fixing my notebook file for RVC which is intended for voice cloning. The notebook is throwing runtime errors during execution and I need these resolved so I can continue with my project. Key Tasks: - Debug the notebook file to fix errors during execution. - Ensure compatibility for voice cloning, training model and loading Gradio interface. - Provide a working notebook file ready for voice cloning. Ideal Skills: - Proficiency in RVC and Python. - Experience with Gradio interface. - Excellent debugging and proble...

...invite-only access. - Set up HTTPS and ensure the application is secure for external users. - Testing and Deployment: - Validate the functionality post-customization to ensure the system works as expected (document upload, multi-modal QA, etc.). - Conduct testing for responsiveness and performance across devices. - Provide access for users to test the web application. Requirements: 1. Experience with Gradio or similar Python-based UI frameworks. 2. Familiarity with deploying web applications on cloud platforms. 3. Basic knowledge of Neo4j and Retrieval-Augmented Generation (RAG) workflows. 4. Expertise in UI/UX customization and creating polished web interfaces. 5. Experience with branding and creating visually cohesive designs. 6. Familiarity with secure application deployment...

I'm in need of an experienced Python developer to upgrade an existing Python-based solution that uses Gradio. The solution allows users to perform file uploads, select different AI models, and generate a summary of the uploaded document using a prompt. The summarized response is then saved to a file which is downloadable by the user. Key Responsibilities: - Upgrade the existing codebase to integrate additional AI models, particularly GPT4o and Anthropic, to the system using their respective APIs. note that while I've used PyPDF to extract the text for the Ollama model, I'd like to use OpenAI or Anthropic API with uploading the PDF directly to their services rather than doing the extraction/OCR locally. - Ensure seamless interaction and functionality across all integ...

Project Title: Install DeepSeek R1 LLM on Raspberry Pi 5 (8GB) with Intuitive Voice-Interaction UI Project Description: I am looking for a skilled freelancer to set up the DeepSeek R1 LLM on my Raspberry Pi 5 (8GB). The system should have an intuitive user interface that allows interacti...Fully functional setup of DeepSeek R1 LLM on Raspberry Pi 5 with voice interaction. • Intuitive UI for data upload and interaction. • Documentation for installation, usage, and any required dependencies. Preferred Skills: • Experience with language models, Raspberry Pi optimization, and voice interaction systems. • Familiarity with Python libraries such as transformers, SpeechRecognition, or gradio. Please provide a timeline, cost estimate, and examples of similar projec...

...invite-only access. - Set up HTTPS and ensure the application is secure for external users. - Testing and Deployment: - Validate the functionality post-customization to ensure the system works as expected (document upload, multi-modal QA, etc.). - Conduct testing for responsiveness and performance across devices. - Provide access for users to test the web application. Requirements: 1. Experience with Gradio or similar Python-based UI frameworks. 2. Familiarity with deploying web applications on cloud platforms. 3. Basic knowledge of Neo4j and Retrieval-Augmented Generation (RAG) workflows. 4. Expertise in UI/UX customization and creating polished web interfaces. 5. Experience with branding and creating visually cohesive designs. 6. Familiarity with secure application deployment...

We have a python app that uses GPT API running on a local machine using local GPUs. The front end is single screen PyQT5. We now need to scale this to a web service running on , converting the PyQT5 UI to Gradio for the UI/orchestration layer so we can run batches on multiple instances and easily scale GPU and CPU resources as needed. We've scoped this initial deployment at about 80 hours for a developer with these proven skills (modal and gradio), with future work to continue based on performance. Our app batch uses batch downloaded docs. via API, parses and uses LLM to generate a docx report and set of .csv files. Analyzed content is based in the biosciences area and in future phase we'll be adding functionality to analyze bio-sequences using Blast (supported on ...

I'm in need of a minimalist and modern website to showcase my Chatbot. The site will utilize a registered domain and include a pitch video. The successful applicant will embed Gradio onto the webpage and implement load balancing and a timeout page. The ideal candidate for this project should have: - A proven track record in Chatbot/LLM development with a strong portfolio. - Prior experience working with Gradio and ideally with Modal. - A collaborative spirit and a reasonable hourly rate. Optional tasks, based on your professional experience, may include: - Promoting the website using GoDaddy tools. - Proposing other relevant activities to enhance the site. The project timeframe is between 14 to 20 days.

...Integrate the database with a GPT model for seamless interaction. Model Customization: Fine-tune an existing GPT model (e.g., GPT-4 or LLaMA) using the processed data. Ensure the model can respond accurately to domain-specific questions (e.g., “What technologies are suitable for municipal heating networks?”). Deployment: Develop a user-friendly interface (e.g., a web application using Streamlit or Gradio). Provide options for integrating the solution into existing systems. Additional Requirements: Compliance with data privacy and security standards. Documentation of the solution and transfer for internal use. Expected Deliverables: A fully functional GPT model capable of providing precise answers related to municipal heat planning. A web-based interface for inputt...

I am adding video faceswapping to my Electron app software. I am using (link removed) for the faceswapping. It has great docker support making it easy to implement. On my AWS, I already have the service setup on EC2 with auto scaling groups with a instance. The roop-unleashed is a public repo that already has a built in API system with Gradio and the EC2 instance is connected with an API Gateway & AWS Lambda for making API calls. In my Electron app, we provide an input face and a target file and this service successfuly faceswaps the video through the API and returns the generated file in an output folder. IMPORTANT: Although I already have the service setup, I am considering completely changing everything because it isn't cost effective. My main issue is that AWS charg...

I have installed this model locally . I have brought up the gradio interface and can see it working to upscale an image. There is an example in python, however I want a simple example in c# to take an image and upscale this , and save the result to disk somewhere. The input image and output image file locations can be hardcoded. If interested please do indicate whether you can do this, and whether you have this already installed, as I would like to get this assigned very quickly. Thanks,

I have a Gradio application designed as a machine learning model interface, and I'm experiencing deployment errors when I try to push it to Heroku via GitHub. I've checked the configuration files like the Procfile and , but the issue persists. Ideal Skills: - Proficiency in deploying applications to Heroku - Experience with Gradio and machine learning interfaces - Strong problem-solving skills in identifying and fixing deployment errors - Familiarity with GitHub and Heroku configuration files Please help me get this application up and running on the cloud.

I'm looking for someone preferably an expert in python to run a colab notebook and share me the gradio link

I have downloaded the open-source Cinnamon Kotaemon project and I need to modify its UI and interact with both internal and third-party APIs. Here's the breakdown of my needs: - UI Modifications: I need help adjusting the layout and ...troubleshoot issues as they arise. - Concept Explanation and Best Practices: I would appreciate your expertise in explaining the concepts and sharing best practices in UI modification and API interaction. - Code Review and Feedback: I would like you to review my code and provide constructive feedback to help me improve. Ideal candidates for this project should have extensive experience with Python, Gradio UI modification and API interaction. Please look at the Cinnamon Kotaemon project first to see if you are able to help. The project is avail...

Total budget 20$. Milestone 1: (5$) Select One LLM model - can be small LLM (CPU based - like TinyLlama or DistilBert etc) : - able to run locally - fine tunable on local or Colab. Diverse types of Question Answer generation from a generi...details are mentioned) Evaluation of Question/Answers generated before and after the Fine tuning. There should be noticable difference between the two (before and after FT). The final result should be good enough, consistent & usable, saved to db (any db). Milestone 3 (5$) Prepare technical project report in detail -25 pages (can be using AI) Milestone 4 (5$) show the questions as quiz using gradio or streamlit or flask, marks obtianed etc & store it. Show progress. Please note, this is a low-budget project intended f...

The project is develop an advanced version of Assistant (ChatBot) in Gradio. There are a lot of references . We need a person to compile some solid demo when Assistant actual generation out of scope now. You can use chatinterface_streaming_echo () The project can include some specific questions about Gradio functionality. Project budget has some flexibility to grow as it has uncertainty in results to deliver. Requirements : 1. The development in Colab using embedded Gradio 2. The notebook is delivered should work on my Colab. Pay attention to providing accurate 3. Code should contain clear instruction (i.e. comment/uncomment) how to reproduce each functionality below Functionality 1. General UI : a. Extending of ChatInterface