GITHUB: github.com/ronidas39/LLMtutor...
TELEGRAM: t.me/ttyoutubediscussion
**Visual Elements**:
1. **Background**: A clean, tech-themed background with subtle patterns representing coding and AI. The colors should be vibrant yet professional, ensuring the text stands out.
2. **Main Image**: A high-resolution image of a computer screen displaying the Streamlit app interface where the user inputs a company name and retrieves detailed information. On one side, include a clear representation of the OpenAI and LangChain logos.
3. **Instructor Image**: A professional photo of Ronnie, the instructor, positioned on one side, smiling and pointing towards the screen displaying the app.
4. **Overlay Text**:
- Top: "Tutorial #90"
- Center: "Company Info Finder App"
- Bottom: "Total Technology Zone"
5. **Additional Icons**: Small icons representing key concepts like "Streamlit", "API Integration", and "Python Code".
**Description**:
In this exciting tutorial, Ronnie from Total Technology Zone demonstrates how to build a Company Information Finder App using LangChain and the GPT-4 model. This comprehensive guide is designed to help developers create a Streamlit application that takes a company name as input and returns detailed information about the company using the powerful capabilities of LangChain and GPT-4.
Ronnie begins by explaining the overall concept of the app, which will accept user input (company name) and pass this input to a prompt template. This template interacts with the GPT-4 model via the LangChain framework, utilizing the SerpAPI tool to search the internet and gather detailed company information.
The tutorial covers the following key steps:
1. **Setting Up the Environment**: Instructions on how to set up the necessary environment variables, including the OpenAI API key and SerpAPI key. Ronnie walks through the process of obtaining these keys and configuring them on both Windows and Mac systems.
2. **Importing Libraries**: Detailed explanations on importing essential libraries such as Streamlit, LangChain, and OpenAI's Python library.
3. **Creating the Prompt Template**: Crafting an effective prompt template that instructs the GPT-4 model to search and analyze information about the specified company. The template ensures the output is structured in a JSON format with relevant keys such as company name, details, products, phone number, email, website, address, city, postal code, founder, and CEO.
4. **Initializing the Agent**: Using the `initialize_agent` function to set up the LangChain agent with the specified tools and model, ensuring the application can dynamically fetch and display information.
5. **Building the Streamlit Interface**: Step-by-step guide to creating the Streamlit app interface where users can input a company name and trigger the search. Ronnie explains how to handle user input, submit buttons, and display the results in a user-friendly manner.
6. **Testing and Debugging**: Demonstrating the testing process to ensure the app functions correctly, including handling potential errors and ensuring robust performance. Ronnie shares tips on troubleshooting common issues that may arise during development.
7. **Enhancing the App**: Suggestions for enhancing the app by adding more features, such as additional search criteria, improving the user interface, and integrating more advanced AI capabilities.
Throughout the video, Ronnie emphasizes the importance of understanding the underlying concepts and best practices for developing AI-driven applications. He encourages viewers to experiment with the code, explore additional functionalities, and share their experiences.
**Call to Action**:
- Subscribe to the Total Technology Zone channel for more tutorials.
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- Leave comments and feedback to help improve the content and address your needs.
By the end of the tutorial, viewers will have a fully functional Company Information Finder App and a deeper understanding of how to leverage LangChain and GPT-4 for real-world applications. Ronnie's clear and methodical teaching style ensures that even complex topics are easily understood, making this video a valuable resource for developers of all skill levels.
Негізгі бет company information finder app using Langchain & Gpt-4o|Tutorial-90
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