adding tray

app.py

@@ -9,38 +9,6 @@ For more information on `huggingface_hub` Inference API support, please check th
 TRAY_API_URL = "https://1591a0e5-d083-483b-a8b8-21fc282cdb21-api.trayapp.io/getResponse"
 
 
-def respond_huggingface(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    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 = ""
-
-    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
-
 
 def respond_chatgpt(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
@@ -56,15 +24,15 @@ def respond_chatgpt(message, history, system_message, max_tokens, temperature, t
 
     # Call the Hugging Face model
     response = ""
-    
+
     # Tray.io API call
     try:
-        tray_response = requests.get(TRAY_API_URL, params={"user_message": message})
+        tray_response = requests.get(TRAY_API_URL, params={"query": message})
 
         # Process Tray.io API response
         if tray_response.status_code == 200:
             tray_data = tray_response.json()
-            tray_message = tray_data.get("reply", "Tray.io did not return a response.")
+            tray_message = tray_data.get("message", "Tray.io did not return a response.")
             response += f"\n\nTray.io Response: {tray_message}"
         else:
             response += "\n\nError: Failed to retrieve response from Tray.io."