Update app3.py

app3.py

@@ -57,17 +57,18 @@ def generate_gemini_post(role, temp):
   {  # Define a function to generate LinkedIn posts using the Gemini API
     # Example implementation:
     #gemini = Gemini(api_key=st.secrets["YOUR_GEMINI_API_KEY"], temperature=temp)
-        user_input = (
-             f"You as {role} Create a professional, engaging LinkedIn post about {topic}."+
-             f"Adjust the tone and style based on a temperature of {temp}. " +
-             "It should start with an attention grabbing hook based on audience pain. "+
-             "Then a line to agitate the user. This should be in the next line. "+
-             "The post should be concise, informative, and suitable for a professional audience. "+
-             "It should provide value, insights, or thought-provoking content related to the topic. "+
-             "And only contain 3 points. "+
-        ) 
+    prompt = (
+            f"You as {role} Create a professional, engaging LinkedIn post about {topic}. "
+            f"Adjust the tone and style based on a temperature of {temp}. " 
+            "It should start with an attention grabbing hook based on audience pain. "
+            "Then a line to agitate the user. This should be in the next line. "
+            "The post should be concise, informative, and suitable for a professional audience. "
+            "It should provide value, insights, or thought-provoking content related to the topic. "
+            "And only contain 3 points. "
+            
+        )
     llm = ChatGoogleGenerativeAI(model="gemini-pro")
-  result = llm.invoke(user_input)
+  result = llm.invoke(prompt)
   return print(result.content)
     # Call Gemini API functions to generate LinkedIn post
     # gemini.generate_linkedin_post(topic, role)