File size: 1,508 Bytes
1e11b8e 84d1aa1 1e11b8e 84d1aa1 9d9b802 84d1aa1 1e11b8e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | ---
title: Competitive Product Analyser
emoji: 🔥
colorFrom: red
colorTo: blue
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: false
---
# 📊 Competitive Product Analyzer
**Compare two products or services like a market analyst — instantly.**
This app uses **Mistral-7B-Instruct** and a custom prompt pipeline created in **Langflow**, deployed via **Streamlit** on Hugging Face Spaces.
---
## 🚀 Features
- 🔍 **Feature-by-Feature Comparison**
- 💡 **SWOT Analysis for Each Product**
- 🏢 **Business Use Case Recommendations**
- 🎯 **Strategic Positioning & Key Differentiators**
- 📄 **Markdown-Formatted Expert Reports**
---
## 🧠 Model Used
- **LLM:** [`mistralai/Mistral-7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
- **Inference:** Hugging Face Inference API
- **Pipeline Builder:** Langflow (exported to Python)
---
## 🛠 Tech Stack
- 🐍 Python 3.10
- 📦 Streamlit
- 🌐 Hugging Face Inference API
- 🧱 Langflow + LangChain
- 🧠 Mistral 7B LLM
---
## 🔗 Langflow Flow (Powered by DataStax)
Want to explore or replicate the logic behind this app?
Check out the visual prompt flow here:
👉 [Langflow Flow Link](https://astra.datastax.com/langflow/dce800be-521a-4b92-827b-c0f1927ac0b4/flow/ba55769e-aa9d-44b8-8968-398a25fd3ed9)
---
## 🧪 Example Input
```text
Product 1: iPhone 13
Product 2: iPhone 14
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|