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README_fixed.md

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+---
+title: AI-Powered Differential Diagnosis (Educational)
+emoji: ⚕️
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# AI-Powered Differential Diagnosis (Educational)
+
+This Hugging Face Space allows you to input patient symptoms and receive a ranked list of possible differential diagnoses based on TF-IDF similarity to an existing dataset.
+
+## How It Works
+- Input at least **3 comma-separated symptoms**.
+- The app uses **TF-IDF vectorization** to compare your input against the dataset.
+- It provides:
+  - A ranked list of **possible diagnoses**.
+  - A **chain of reasoning** explaining logical steps.
+  - **Few-shot examples** and a **tree of hypotheses**.
+
+## Files Required
+- `app.py`
+- `requirements.txt`
+- `differential_diagnosis_dataset.csv`
+
+## Run Locally
+```bash
+pip install -r requirements.txt
+python app.py
+```
+Then open [http://127.0.0.1:7860](http://127.0.0.1:7860) in your browser.
+
+## Deployment Steps on Hugging Face
+1. Go to your Space (e.g. [https://huggingface.co/spaces/Konaguy/GradiotestApp](https://huggingface.co/spaces/Konaguy/GradiotestApp))
+2. Upload the files listed above using the **Files and versions → Add file → Upload files** option.
+3. Commit your changes.
+4. Wait for the build to finish; the Space will automatically start the Gradio app.
+
+## Safety Notice
+This project is for **educational and research purposes only**.
+It is **not a medical device** and should **not be used for real patient diagnosis or treatment**.
+Always consult a licensed medical professional for actual care or emergencies.