feat: update API

app.py

@@ -1,62 +1,111 @@
+import logging
+from os import getenv
+from uuid import uuid4
+
+import requests
+from requests import Response, RequestException
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+logger = logging.getLogger(__name__)
+
+INFLO_AGENT_API_URL = f"{getenv('INFLO_AGENT_API_HOST')}:{getenv('INFLO_AGENT_API_PORT')}"
+DEFAULT_HEADERS = {"accept": "application/json", "Content-Type": "application/json"}
+DEFAULT_USER_ID = str(uuid4())
+
+def get_request_log(
+    url: str, headers: dict, json: dict, response: Response | None = None
+) -> dict:
+    """Get the request log.
+
+    Args:
+        url (str): The URL of the API.
+        headers (dict): The headers of the API.
+        json (dict): The JSON data of the API.
+        response (Response): The response of the API.
+
+    Returns:
+        dict: The request log.
+    """
+    log = dict(
+        url=url,
+        headers=headers,
+        json=json,
+        reproduction_code=f"import requests; requests.post(url='{url}', headers={headers}, json={json})",
+    )
+
+    if response:
+        log.update(
+            response=dict(status_code=response.status_code, json=response.json())
+        )
+
+    return log
+
+
+def safe_request(url: str, json: dict, headers: dict = DEFAULT_HEADERS) -> dict:
+    """Requests with validation.
+
+    Args:
+        url (str): The URL of the API.
+        json (dict): The JSON data of the API.
+        headers (dict): The headers of the API.
+
+    Returns:
+        Response: The response of the API.
+    """
+    try:
+        response = requests.post(url=url, headers=headers, json=json)
+        response.raise_for_status()
+        log = get_request_log(url, headers, json)
+        logger.info(log)
+        return response.json()
+    except RequestException:
+        log = get_request_log(url, headers, json)
+        logger.error(log, exc_info=True)
+        raise
 
 
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    user_id: str = DEFAULT_USER_ID,
 ):
-    messages = [{"role": "system", "content": system_message}]
-
+    messages = []
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
-
     messages.append({"role": "user", "content": message})
 
-    response = ""
+    result = safe_request(
+        url=f"{INFLO_AGENT_API_URL}/chat/completions",
+        json={"query": message, "user_id": user_id},
+    )
+    response, context = result["response"], result["context"]
+    yield response
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    # response = ""
+    # for message in client.chat_completion(
+    #     messages,
+    #     max_tokens=max_tokens,
+    #     stream=True,
+    #     temperature=temperature,
+    #     top_p=top_p,
+    # ):
+    #     token = message.choices[0].delta.content
+    #     response += token
+    #     yield response
 
-        response += token
-        yield response
 
+    
 
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 demo = gr.ChatInterface(
     respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+    additional_inputs=[gr.Textbox(value=DEFAULT_USER_ID, label="User ID")],
 )