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Update app.py
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app.py
CHANGED
@@ -19,17 +19,7 @@ model_links = {
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# Pull info about the model to display
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model_info = {
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"Meta-Llama-3-8B": {
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'description': """The **Meta-Llama 3 (8B)** is a cutting-edge **Large Language Model (LLM)** developed by Meta's AI team, comprising over 8 billion parameters. This model has been specifically fine-tuned for educational purposes to excel in interactive question-and-answer sessions.\n
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\n### Training Process:
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This Llama model was meticulously fine-tuned using science textbooks from the NCERT curriculum, which covers a wide range of subjects including Physics, Chemistry, Biology, and Environmental Science. The fine-tuning process utilized **Docker AutoTrain**, enabling scalable and automated training pipelines. The model was trained on datasets focusing on providing detailed, accurate responses in line with the NCERT syllabus.
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\n### Purpose:
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Llama-3 8B is designed to assist both students and educators by delivering clear, concise explanations to science-related questions. With a deep understanding of the NCERT curriculum, it helps break down complex scientific concepts, making learning easier and more engaging for students, while acting as an intuitive guide for teachers.
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\n### Specialized Features:
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- **Contextual Understanding**: Optimized to handle detailed science-related queries, ensuring high relevance in responses.
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- **Fine-Grained Knowledge**: Equipped to offer explanations on subjects ranging from basic scientific principles to advanced concepts, ideal for various educational levels.
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- **Accuracy and Reliability**: Trained with a focus on minimizing misinformation, this model prioritizes delivering trustworthy responses, tailored specifically for the education sector.\n
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This model is a testament to the potential of AI in revolutionizing education by offering students a personal, reliable assistant to clarify doubts and enrich their understanding of science.
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"""
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}
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}
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@@ -49,7 +39,25 @@ st.sidebar.write("Base-Model used: Meta Llama, trained using: Docker AutoTrain."
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# Add technical details in the sidebar
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st.sidebar.markdown(model_info["Meta-Llama-3-8B"]['description'])
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st.sidebar.markdown("
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# If model selection was needed (now removed)
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selected_model = "Meta-Llama-3-8B" # Only one model remains
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# Pull info about the model to display
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model_info = {
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"Meta-Llama-3-8B": {
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'description': """The **Meta-Llama 3 (8B)** is a cutting-edge **Large Language Model (LLM)** developed by Meta's AI team, comprising over 8 billion parameters. This model has been specifically fine-tuned for educational purposes to excel in interactive question-and-answer sessions.\n"""
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}
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}
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# Add technical details in the sidebar
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st.sidebar.markdown(model_info["Meta-Llama-3-8B"]['description'])
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st.sidebar.markdown("""
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### Meta-Llama 3 (8B)
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Yo, this **Meta-Llama 3 (8B)** is a next-level AI model built by Meta's genius squad. It packs a whopping **8 billion parameters** and is totally fine-tuned for school stuff, especially science Q&As.
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### How it’s Trained:
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We fed it all the juicy info from **NCERT science textbooks** (yep, the same ones you use), covering Physics, Chem, Bio, and more. With **Docker AutoTrain**, we made sure it learns fast and scales like a boss.
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### What it Does:
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This Llama’s mission? Make science super easy. Whether you're stuck on a tricky topic or just need a quick answer, it’s here to help you (and your teacher) break things down like a pro.
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### Cool Stuff:
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- **Knows Its Stuff**: It's laser-focused on science questions, so no random answers.
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- **Super Smart**: Whether it's easy or advanced, it’s got you covered.
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- **Trustworthy**: It's trained to get things right, so you can count on its answers.
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Basically, it's like having a personal science tutor right in your pocket.
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""")
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st.sidebar.markdown("By Gokulnath ♔")
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# If model selection was needed (now removed)
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selected_model = "Meta-Llama-3-8B" # Only one model remains
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