Update app.py

app.py

@@ -1,12 +1,9 @@
 import streamlit as st
 import requests
 
-# Replace with your DeepSeek API key and endpoint
-DEEPSEEK_API_KEY = "sk-cb27c81768e443868a194fad0bb91abc"
-DEEPSEEK_ENDPOINT = "https://api.hyperbolic.xyz/v1/chat/completions"
-
-
-headers = {
+# Third-party API endpoint and headers
+API_URL = "https://api.hyperbolic.xyz/v1/chat/completions"
+API_HEADERS = {
     "Content-Type": "application/json",
     "Authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJtaXRyYWxlc3RhcmlwZXJzYWRhQGdtYWlsLmNvbSIsImlhdCI6MTczNjUwMzQxMX0.yuIoZsH1jouAlixx_h_eQ-bltZ1sg4alrJHMHr1axvA"
 }
@@ -19,31 +16,37 @@ BOT_PERSONA = (
 )
 
 def chat_with_nietzsche(user_input):
-    headers = {
-        "Authorization": f"Bearer {DEEPSEEK_API_KEY}",
-        "Content-Type": "application/json"
-    }
-
     # Define the conversation history
     messages = [
         {"role": "system", "content": BOT_PERSONA},
         {"role": "user", "content": user_input}
     ]
 
-    # Send the request to the DeepSeek API
+    # Prepare the request payload
     data = {
-        "model": "deepseek-chat",  # Replace with the appropriate model
-        "messages": messages
+        "messages": messages,
+        "model": "deepseek-ai/DeepSeek-V3",  # Model specified by the third-party API
+        "max_tokens": 512,  # Maximum number of tokens in the response
+        "temperature": 0.1,  # Controls randomness (lower = more deterministic)
+        "top_p": 0.9  # Controls diversity (higher = more diverse)
     }
 
-    response = requests.post(DEEPSEEK_ENDPOINT, headers=headers, json=data)
-    response_data = response.json()
+    try:
+        # Send the request to the third-party API
+        response = requests.post(API_URL, headers=API_HEADERS, json=data)
+        response_data = response.json()
+
+        # Print the API response and status code for debugging
+        print("API Response:", response_data)
+        print("Status Code:", response.status_code)
 
-    # Extract the bot's reply
-    if response.status_code == 200:
-        return response_data["choices"][0]["message"]["content"]
-    else:
-        return "Error: Unable to get a response from the bot."
+        # Extract the bot's reply
+        if response.status_code == 200:
+            return response_data["choices"][0]["message"]["content"]
+        else:
+            return f"Error: Unable to get a response from the bot. Status Code: {response.status_code}"
+    except Exception as e:
+        return f"Error: An exception occurred - {str(e)}"
 
 # Streamlit app
 def main():