Commit
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e22e58d
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Parent(s):
87eacb9
updated demo link in the Readme file
Browse files
README.md
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- mcp-server-track
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- custom-component-track
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- agent-demo-track
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short_description: No code builder to customize, deploy intelligent AI Agents🤖
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---
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**Python Code Generator**, and **Data Visualization Tool** — within the **Gradio app**, enhancing
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**LLM functionality** by enabling users to perform domain-specific tasks effortlessly through a
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**no-code interface**.
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### 🧩 **Track 2: Custom Components for Agents**
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We utilize and customize **Gradio components** to create an intuitive **multi-step agent configuration flow**,
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enhancing user experience and agent customization. Additionally, we’ve added customized **cloud deployment capabilities**
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that allow users to deploy their configured agents directly to platforms like **GCP**, **AWS**, **Azure**, and **Gradio Cloud**,
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enabling a seamless transition from **no-code setup** to **production-ready deployment** — all within the same interface.
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### 🤖 **Track 3: Agentic Demo Showcase**
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reasoning**, **tool orchestration**, and **real-time visualization generation**, showcasing how
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**conversational agents** can deliver **complex insights** across multiple industries with minimal
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setup.
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## 🚀 **Key Features**
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- mcp-server-track
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- custom-component-track
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- agent-demo-track
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demo_video_URL: https://youtu.be/7hGmoNQlPss
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short_description: No code builder to customize, deploy intelligent AI Agents🤖
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---
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**Python Code Generator**, and **Data Visualization Tool** — within the **Gradio app**, enhancing
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**LLM functionality** by enabling users to perform domain-specific tasks effortlessly through a
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**no-code interface**.
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**Demo Video URL**: https://youtu.be/7hGmoNQlPss
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### 🧩 **Track 2: Custom Components for Agents**
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We utilize and customize **Gradio components** to create an intuitive **multi-step agent configuration flow**,
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enhancing user experience and agent customization. Additionally, we’ve added customized **cloud deployment capabilities**
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that allow users to deploy their configured agents directly to platforms like **GCP**, **AWS**, **Azure**, and **Gradio Cloud**,
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enabling a seamless transition from **no-code setup** to **production-ready deployment** — all within the same interface.
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**Demo Video URL**: https://youtu.be/7hGmoNQlPss
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### 🤖 **Track 3: Agentic Demo Showcase**
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reasoning**, **tool orchestration**, and **real-time visualization generation**, showcasing how
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**conversational agents** can deliver **complex insights** across multiple industries with minimal
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setup.
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**Demo Video URL**: https://youtu.be/7hGmoNQlPss
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**Technologies Covered**:
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Gradio MCP Tools, AI Agents, Qdrant Vector DB, SQl database, e.t.c.
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Used all open source Large Language Models using NEBIUS platform.
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**Text Generation Model**: meta-llama/Meta-Llama-3.1-405B-Instruct
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**Code Generation and Reasoning Model**: Qwen/Qwen3-235B-A22B
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**Embedding Model**: BAAI/bge-en-icl
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## 🚀 **Key Features**
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