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title: LM Studios Sentiment Detector | |
emoji: 💬 | |
colorFrom: gray | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 5.29.0 | |
app_file: app.py | |
pinned: false | |
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# 💬 LM Studios Sentiment Detector | |
Welcome to the official AI demo space by Walkerman, built under LM Studios. This model detects whether a sentence expresses positive or negative sentiment using machine learning. | |
✅ Built with: Python, scikit-learn, and Gradio | |
🌐 Powered by Hugging Face Spaces | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
# 💬 LM Studios Sentiment Detector | |
This is a lightweight AI tool created by **Mr. Jack (aka The Walkerman)**, developed under the **LM Studios** label. | |
🔍 **What It Does:** | |
Type a sentence, and the AI will determine whether the sentiment behind it is **Positive** or **Negative** using natural language processing. | |
🧠 **Built With:** | |
- Python | |
- scikit-learn (Naive Bayes model) | |
- TF-IDF Vectorizer | |
- Gradio for web interface | |
🚀 **Why It Matters:** | |
This project demonstrates a full-cycle AI build—from data collection and training to deployment—delivered in a user-friendly format anyone can try, from desktop or mobile. | |
🌐 **Created for:** | |
- Educators | |
- Beginners learning AI | |
- Demo use for real-time sentiment checking | |
- LM Studios showcase of cloud-based AI apps | |
✨ _Keep the pace, keep the faith._ | |
_This is The Walkerman’s Sentiment Detector._ | |
📌 [Powered by Hugging Face Spaces | Built with Gradio] | |
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[Download the How-to Guide (PDF)](LM_Studios_Emotion_Detector_Guide%20(1).pdf) | |
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### 🧠 Try These Sample Prompts: | |
Not sure what to write? Try starting with something real. | |
- "I feel like I’m trying, but no one sees me." | |
- "Work has been really frustrating lately." | |
- "I’m so excited about this weekend!" | |
- "I just want peace, but everything’s loud." | |
💬 **Tip:** Speak from the heart. The AI works best when you describe what you're feeling—not just the facts. | |