Hi everyone, I have updated the space from its original version. 
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Hi everyone, I have updated the space from its original version. 
https://huggingface.co/spaces/mallocode200/Deep_Research_Assistant
mallocode200/Deep_Research_Assistant
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https://huggingface.co/spaces/mallocode200/Deep_Research_Assistant
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The main changes are:
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The main changes are:
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- The possibility for users to insert their own OpenAI API Key
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- The possibility for users to insert their own OpenAI API Key
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- The possibility for users to select the model they want from OpenAI
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- The possibility for users to select the model they want from OpenAI
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- An improved UI to see the process going on when the research is running
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- An improved UI to see the process going on when the research is running
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- A better Gradio interface for both light and dark themes
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- A better Gradio interface for both light and dark themes
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Why use only OpenAI models?
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Why use only OpenAI models?
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For this research assistant, I've chosen to focus exclusively on OpenAI models for several key reasons:
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For this research assistant, I've chosen to focus exclusively on OpenAI models for several key reasons:
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- Reliability & Consistency: OpenAI's models provide consistent, high-quality responses that are crucial for research tasks requiring accuracy and depth.
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- Reliability & Consistency: OpenAI's models provide consistent, high-quality responses that are crucial for research tasks requiring accuracy and depth.
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- Advanced Reasoning: Models like GPT-4o and o1-preview excel at complex analytical thinking, making them ideal for comprehensive research synthesis and evaluation.
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- Advanced Reasoning: Models like GPT-4o and o1-preview excel at complex analytical thinking, making them ideal for comprehensive research synthesis and evaluation.
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- Proven Performance: The research pipeline has been extensively tested and optimised specifically for OpenAI's model behaviours and capabilities.
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- Proven Performance: The research pipeline has been extensively tested and optimised specifically for OpenAI's model behaviours and capabilities.
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- API Stability: OpenAI offers robust API infrastructure with reliable uptime and consistent response formats, essential for a production research tool.
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- API Stability: OpenAI offers robust API infrastructure with reliable uptime and consistent response formats, essential for a production research tool.
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- Quality Assurance: The built-in evaluation and optimisation system is fine-tuned to work with OpenAI's specific output patterns and capabilities.
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- Quality Assurance: The built-in evaluation and optimisation system is fine-tuned to work with OpenAI's specific output patterns and capabilities.
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That said, I'm open to expanding model support in the future! The architecture is designed to be flexible, and I'm considering adding support for other leading models, such as Claude and Gemini, as well as open-source alternatives, as the ecosystem evolves. The goal is to provide users with the best possible research experience, regardless of their preferred AI provider.
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That said, I'm open to expanding model support in the future! The architecture is designed to be flexible, and I'm considering adding support for other leading models, such as Claude and Gemini, as well as open-source alternatives, as the ecosystem evolves. The goal is to provide users with the best possible research experience, regardless of their preferred AI provider.
Hi everyone, I have updated the space from its original version. https://huggingface.co/spaces/mallocode200/Deep_Research_Assistant

The main changes are:
- The possibility for users to insert their own OpenAI API Key
- The possibility for users to select the model they want from OpenAI
- An improved UI to see the process going on when the research is running
- A better Gradio interface for both light and dark themes

Why use only OpenAI models?
For this research assistant, I've chosen to focus exclusively on OpenAI models for several key reasons:

- Reliability & Consistency: OpenAI's models provide consistent, high-quality responses that are crucial for research tasks requiring accuracy and depth.
- Advanced Reasoning: Models like GPT-4o and o1-preview excel at complex analytical thinking, making them ideal for comprehensive research synthesis and evaluation.
- Proven Performance: The research pipeline has been extensively tested and optimised specifically for OpenAI's model behaviours and capabilities.
- API Stability: OpenAI offers robust API infrastructure with reliable uptime and consistent response formats, essential for a production research tool.
- Quality Assurance: The built-in evaluation and optimisation system is fine-tuned to work with OpenAI's specific output patterns and capabilities.

That said, I'm open to expanding model support in the future! The architecture is designed to be flexible, and I'm considering adding support for other leading models, such as Claude and Gemini, as well as open-source alternatives, as the ecosystem evolves. The goal is to provide users with the best possible research experience, regardless of their preferred AI provider.
👍
John6666