Update README.md

README.md

@@ -50,6 +50,67 @@ Another example - predict compound based on signature. You can take
     }
 }
 
+```
+---
+
+## Run generation
+
+
+### Step 1.
+```python
+
+import requests
+
+API_URL = "https://cu2s6lgb4jew3tht.us-east-1.aws.endpoints.huggingface.cloud"
+headers = {
+    "Accept" : "application/json",
+    "Authorization": "Bearer hf_XXXX",
+    "Content-Type": "application/json" 
+}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+```
+
+### Step 2.
+
+```python
+import json
+with open('./generation-configs/meta2diff.json', 'r') as f:
+    config_data = json.load(f)
+
+# prepare sample
+config_sample = {"inputs": config_data, "mode": "diff2compound", "parameters": {
+    "temperature": 0.4,
+    "top_p": 0.2,
+    "top_k": 3550,
+    "n_next_tokens": 50
+}}
+
+```
+
+### Step 2 - prepared configuration
+```json
+{
+    "inputs": {
+        "instruction": "disease2diff2disease", 
+        "tissue": ["whole blood"], 
+        "cell": "u937 ", 
+        "efo": "Orphanet_139399", 
+        "datatype": "", "drug": "", "dose": "", "time": "", "case": "", "control": "", "age": "", "dataset_type": "expression ", "gender": "m ", "species": "human ", "up": [], "down": []
+    }, 
+    "mode": "meta2diff2compound", 
+    "parameters": {
+        "temperature": 0.8, "top_p": 0.2, "top_k": 3550, "n_next_tokens": 50
+    }
+}
+```
+
+### Step 3. Send request to endpoint 
+```python
+output = query(config_sample)
 ```
 
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