📝 docs(README.md): update Langflow API usage example and add tweaks parameter

The Langflow API usage example has been updated to reflect the new API endpoint URL. Additionally, a new optional `tweaks` parameter has been added to the `run_flow` function to allow customization of the flow. The example code has been updated to demonstrate how to use the `tweaks` parameter.

README.md

@@ -50,11 +50,11 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
 
 Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
 
-Start by installing `langchain-serve` with 
+Start by installing `langchain-serve` with
 
 ```bash
 pip install -U langchain-serve
-``` 
+```
 
 Then, run:
 
@@ -109,24 +109,38 @@ You can use Langflow directly on your browser, or use the API endpoints on Jina
   <summary>Show API usage (with python)</summary>
 
   ```python
-  import json
-  import requests
+import requests
 
-  FLOW_PATH = "Time_traveller.json"
+BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
+FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
+# You can tweak the flow by adding a tweaks dictionary
+# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
+TWEAKS = {
+  "ChatOpenAI-g4jEr": {},
+  "ConversationChain-UidfJ": {}
+}
 
-  # HOST = 'http://localhost:7860'
-  HOST = 'https://langflow-f1ed20e309.wolf.jina.ai'
-  API_URL = f'{HOST}/predict'
+def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
+    """
+    Run a flow with a given message and optional tweaks.
 
-  def predict(message):
-      with open(FLOW_PATH, "r") as f:
-          json_data = json.load(f)
-      payload = {'exported_flow': json_data, 'message': message}
-      response = requests.post(API_URL, json=payload)
-      return response.json()
+    :param message: The message to send to the flow
+    :param flow_id: The ID of the flow to run
+    :param tweaks: Optional tweaks to customize the flow
+    :return: The JSON response from the flow
+    """
+    api_url = f"{BASE_API_URL}/{flow_id}"
 
+    payload = {"message": message}
 
-  predict('Take me to 1920s Bangalore')
+    if tweaks:
+        payload["tweaks"] = tweaks
+
+    response = requests.post(api_url, json=payload)
+    return response.json()
+
+# Setup any tweaks you want to apply to the flow
+print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
   ```
 
   ```json