| --- |
| title: PromptPilot (AML-3304) |
| emoji: 🤖 |
| colorFrom: blue |
| colorTo: indigo |
| sdk: streamlit |
| sdk_version: 1.20.0 |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # 🤖 PromptPilot – Unified AI Chatbot (AML-3304) |
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| This is an MVP AI chatbot developed for the **AML-3304 assignment**: |
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| **"From Tokens to Transformers: Building AI Systems with Embeddings, Generative Models, and MLOps."** |
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| PromptPilot combines five intelligent chat modes powered by popular Transformer-based models, enabling users to explore code generation, factual Q&A, probabilistic reasoning, and paraphrasing. |
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| --- |
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| ## 🔄 Chat Modes |
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| | Mode | Description | Model Used | |
| |-------------------------|-------------------------------------------------------------|----------------------------------------| |
| | 🧑💻 Code Generator | Generate Python code from plain language | `Salesforce/codegen-350M-mono` | |
| | 📘 General Q&A | Factual question answering and explanations | `google/flan-t5-base` | |
| | 📊 Bayesian Q&A | Uncertainty-based reasoning using sampling | `google/flan-t5-base` + top-k sampling | |
| | 🌐 Deep Coder | Technical Q&A and code completion tasks | `deepseek-ai/deepseek-coder-6.7b-instruct` | |
| | 🔁 Transformer Explorer | Paraphrasing and text transformation using sequence models | `google/flan-t5-base` | |
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| --- |
|
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| ## 🚀 Live Demo |
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| Try the chatbot here: |
| **🔗 [https://huggingface.co/spaces/Group2255/programming-help-chatbot](https://huggingface.co/spaces/Group2255/programming-help-chatbot)** |
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| --- |
|
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| ## 🧩 Features |
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| - Multi-mode UI for interactive exploration |
| - Efficient model switching using `st.session_state` |
| - GPU-compatible on Hugging Face Spaces |
| - Supports both deterministic and sampling-based generation |
| - Lightweight models for fast response and free-tier compatibility |
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| --- |
|
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| ## 💻 Run Locally |
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| ### ✅ Option 1: Python + Streamlit |
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| ```bash |
| git clone https://huggingface.co/spaces/Group2255/programming-help-chatbot |
| cd programming-help-chatbot |
| pip install -r requirements.txt |
| streamlit run app.py |
| |
