Update app.py

app.py

@@ -15,18 +15,19 @@ ZEPHYR_API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zeph
 SD_API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
 
 def query_zephyr(linkedin_text):
-    instruction = "Prepare a prompt for Stable Diffusion for the following LinkedIn post:"
-    payload = {
-        "inputs": {
-            "text": instruction + " " + linkedin_text  # Assuming direct instruction followed by the query
-        }
-    }
-    
+    # Constructing a single string prompt that combines the instruction with the LinkedIn post text
+    prompt = f"Prepare a prompt for Stable Diffusion for the following LinkedIn post: {linkedin_text}"
+
     headers = {
         "Authorization": f"Bearer {ZEPHYR_API_TOKEN}",
         "Content-Type": "application/json",
     }
-    
+
+    # The `inputs` field now directly contains the prompt string
+    payload = {
+        "inputs": prompt,
+    }
+
     response = requests.post(ZEPHYR_API_URL, headers=headers, json=payload)
     if response.status_code == 200:
         return response.json()