Update app.py

app.py

@@ -15,10 +15,10 @@ HF_API_KEY = os.getenv('HFREAD')
 API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
 headers = {"Authorization": f"Bearer {HF_API_KEY}"}
 
-# Function to query the Hugging Face model
-def query_huggingface(payload):
+# Function to query the Hugging Face model with a structured prompt
+def query_huggingface(prompt):
     try:
-        response = requests.post(API_URL, headers=headers, json=payload)
+        response = requests.post(API_URL, headers=headers, json={"inputs": prompt})
         response.raise_for_status()
         return response.json()
     except requests.exceptions.RequestException as e:
@@ -39,10 +39,12 @@ async def on_ready():
 @bot.command(name='ask')
 async def ask(ctx, *, question: str):
     """
-    Command to ask a question to the Hugging Face model.
+    Command to ask a question to the Hugging Face model with an instructive prompt.
     """
+    # Create a structured prompt
+    prompt = f"Do not be annoying. Do not write insanely large responses unless asked specifically. Please provide a detailed response to the following: {question}"
     await ctx.send(f"Question: {question}")
-    response = query_huggingface({"inputs": question})
+    response = query_huggingface(prompt)
     if 'generated_text' in response:
         await ctx.send(f"Response: {response['generated_text']}")
     elif isinstance(response, list) and len(response) > 0 and 'generated_text' in response[0]: