Add deployment instructions for fresh setup

DEPLOYMENT_INSTRUCTIONS.md

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+# Fresh Deployment Instructions
+
+## Step 1: Delete Current Space
+
+1. Go to your Space: https://huggingface.co/spaces/Khamad/json-field-analyzer
+2. Click the **"Settings"** button (gear icon in top right)
+3. Scroll to the **very bottom** of the settings page
+4. Click **"Delete this space"** button
+5. Confirm the deletion by typing the Space name
+6. Click **"Delete"**
+
+## Step 2: Create New Space
+
+1. Go to: https://huggingface.co/spaces
+2. Click **"Create new space"** button (top right)
+3. Fill in the form:
+   - **Space name**: `json-field-analyzer`
+   - **SDK**: Select **"Streamlit"** (IMPORTANT!)
+   - **Hardware**: CPU Basic (free)
+4. Click **"Create space"**
+
+## Step 3: Connect Your Repository
+
+After creating the space, click **"Files and versions"** tab, then:
+
+1. Click the **"Add file"** dropdown
+2. Select **"Upload files"**
+3. Upload these files from your local directory:
+   - `app.py`
+   - `requirements.txt`
+   - `README.md`
+   - `.gitignore`
+
+OR use git (recommended):
+
+```bash
+# Your repo should already be set up
+# If not, run these commands:
+cd "/Users/mac/Continuing Education/json-field-analyzer"
+git remote -v  # Should show your HF repo
+```
+
+If it shows the repo correctly, the files should sync automatically!
+
+## Step 4: Wait for Build
+
+- The Space will automatically start building
+- Wait 2-3 minutes for it to complete
+- You should see green checkmark when ready
+
+## Step 5: Test
+
+1. Click on the app URL
+2. You should see "🆓 Running on Hugging Face - FREE Hugging Face AI model available!"
+3. Try uploading a JSON file and analyzing it
+
+## ✅ Success!
+
+If you see the Streamlit interface with the file uploader, it worked!
+