Create app.py

app.py

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+import gradio as gr
+
+# Narrative
+narrative = """
+# 🚀 Welcome to Nexa Marketplace
+
+Scientific Machine Learning is powerful — but painful. Researchers struggle with scattered datasets, slow infra, and confusing tooling.
+
+**Nexa Marketplace solves this with:**
+- Pre-curated ML-ready datasets
+- Simple fine-tuned model consulting
+- Real tooling for real science
+"""
+
+# Dataset offerings
+datasets = [
+    {
+        "name": "🧬 Protein-Lite",
+        "desc": "1K protein samples (ML-ready)",
+        "price": "$5",
+        "link": "https://buy.stripe.com/test_lite"
+    },
+    {
+        "name": "🧬 Protein-Standard",
+        "desc": "5K protein samples + README",
+        "price": "$20",
+        "link": "https://buy.stripe.com/test_standard"
+    },
+    {
+        "name": "🧬 Protein-Max",
+        "desc": "10K+ protein samples + entropy rank + docs",
+        "price": "$100",
+        "link": "https://buy.stripe.com/test_max"
+    }
+]
+
+# Consulting description
+consulting = """
+# 💡 LLM + SciML Consulting
+
+I fine-tune scientific LLMs on research corpora (300K+ instructions), optimize datasets for training, and build custom inference pipelines.
+
+### 🔍 Example
+- **Model:** Mistral 7B
+- **Task:** Hypothesis + methodology generation from papers
+- **Dataset:** 300K SciML instructions
+
+📩 **[Email](mailto:[email protected])** or **[Book Time](https://calendly.com/your-link)** to get started.
+"""
+
+# Interface
+with gr.Blocks(title="Nexa Marketplace") as demo:
+    gr.Markdown(narrative)
+
+    gr.Markdown("## 📦 Datasets")
+    for ds in datasets:
+        with gr.Row():
+            gr.Markdown(f"**{ds['name']}**  \n{ds['desc']}  \n💰 {ds['price']}")
+            gr.Button("Buy", link=ds["link"])
+
+    gr.Markdown("## 🤝 Consulting")
+    gr.Markdown(consulting)
+
+demo.launch()