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README.md

@@ -1,15 +1,26 @@
+---
+title: MedSynapticGPT
+emoji: "🩺"
+colorFrom: "red"
+colorTo: "blue"
+sdk: streamlit
+sdk_version: "1.35.0"
+app_file: app.py
+pinned: false
+---
+
 # MedSynapticGPT – Multimodal Clinical Reasoner
 
 **Tagline:** *“Read the scan. Hear the patient. Answer like an expert.”*
 
-MedSynapticGPT brings the creative power of GPT‑4o to **clinical imaging, notes, and speech**. Upload a chest X‑ray (DICOM/PNG), paste a discharge summary, or record symptoms—get structured impressions with **SNOMED‑CT codes, guideline citations, and treatment suggestions**.
+MedSynapticGPT brings the creative power of GPT-4o to **clinical imaging, notes, and speech**. Upload a chest X-ray (DICOM/PNG), paste a discharge summary, or record symptoms—get structured impressions with **SNOMED-CT codes, guideline citations, and treatment suggestions**.
 
 ## 🚑 Core Modules
 | Tab | What it does | Key APIs |
 | --- | --- | --- |
-| **Radiology AI** | Vision interpretation, abnormality detection, TNM staging | `gpt‑4o vision`, `pydicom` |
-| **Clinical Note Q&A** | Summarize or answer free‑form questions | `gpt‑4o` |
-| **Voice Triage** | Transcribe symptoms, suggest differential | `whisper‑1`, `gpt‑4o` |
+| **Radiology AI** | Vision interpretation, abnormality detection, TNM staging | `gpt-4o vision`, `pydicom` |
+| **Clinical Note Q&A** | Summarize or answer free-form questions | `gpt-4o` |
+| **Voice Triage** | Transcribe symptoms, suggest differential | `whisper-1`, `gpt-4o` |
 | **UMLS Lookup** | Search concepts, synonyms, codes | UMLS REST + caching |
 | **GraphRAG Explorer** | Prototype biomedical KG Q&A | `networkx`, toy graph |
 
@@ -18,13 +29,13 @@ MedSynapticGPT brings the creative power of GPT‑4o to **clinical imaging, note
 git clone <repo>
 cd MedSynapticGPT
 pip install -r requirements.txt
-export OPENAI_API_KEY="sk‑…"
+export OPENAI_API_KEY="sk-…"
 streamlit run app.py
 ```
-Deploy on Spaces → add secrets. For on‑prem, launch `uvicorn api:app`.
+Deploy on Spaces → add secrets. For on-prem, launch `uvicorn api:app`.
 
 ## Monetization
-1. **Freemium 3 studies/day** → Stripe pay‑per‑usage.
+1. **Freemium 3 studies/day** → Stripe pay-per-usage.
 2. **Pro** ($49/mo) – unlimited, PDF reports, HL7 export.
 3. **Enterprise API** – hospital integration, HIPAA BAA.
 

api.py

@@ -1,4 +1,4 @@
-"""FastAPI micro‑service for enterprise EHR integration"""
+"""FastAPI micro-service for enterprise EHR integration"""
 from fastapi import FastAPI, UploadFile, File, Form
 import openai, pydicom, numpy as np, io
 from PIL import Image

app.py

@@ -56,7 +56,7 @@ with tabs[0]:
         else:
             img = Image.open(up)
         st.image(img, caption="Preview", use_column_width=True)
-        report = gpt("You are a board‑certified radiologist. Provide an impression with SNOMED codes.", "Describe findings and give TNM if cancer present.")
+        report = gpt("You are a board-certified radiologist. Provide an impression with SNOMED codes.", "Describe findings and give TNM if cancer present.")
         st.markdown("#### Report")
         st.write(report)