fixed the issue so that custom ideas can be provided as input

api.py

@@ -5,6 +5,7 @@ from dotenv import load_dotenv
 from settings import load_settings
 from utils import construct_prompt
 
+from config import INPUT_TEMPLATE, SYSTEM_PROMPT, PROMPT_TEMPLATE
 
 # Load API key from .env file
 load_dotenv()
@@ -17,21 +18,25 @@ if not api_key:
 api_url = "https://genai.dev.odp.lhgroup.de/openai/deployments/gpt-4-turbo/chat/completions?api-version=2023-07-01-preview"
 
 def fetch_okrs(user_input: str):
-    settings = load_settings()
+    #settings = load_settings()
     
-    system_prompt = settings["system_prompt"]
-    input_template = settings["input_template"]
+    #system_prompt = settings["system_prompt"]
+    #input_template = settings["input_template"]
 
-    user_prompt = construct_prompt(prompt_template=input_template, user_input=user_input)
+    print("fetch_okr-user_input:", user_input)
+    print("input_template:", INPUT_TEMPLATE)
+    user_prompt = construct_prompt(prompt_template=PROMPT_TEMPLATE, user_input=user_input)
     
-    print(user_prompt)
+    print("user_prompt:", user_prompt)
     headers = {"api-key": api_key, "Content-Type": "application/json"}
     body = {
         "messages": [
-            {"role": "system", "content": system_prompt},
+            {"role": "system", "content": SYSTEM_PROMPT},
             {"role": "user", "content": user_prompt}
         ]
     }
+    #print("system prompt:", system_prompt)
+    print("request body:", body)
     try:
         response = requests.post(url=api_url, headers=headers, json=body)
         response.raise_for_status()
@@ -41,7 +46,7 @@ def fetch_okrs(user_input: str):
         return None
 
 
-from config import INPUT_TEMPLATE
-result = fetch_okrs(user_input=INPUT_TEMPLATE)
-objective = result['choices'][0]['message']['content']
-print(type(objective))
+#from config import INPUT_TEMPLATE
+#result = fetch_okrs(user_input=INPUT_TEMPLATE)
+#objective = result['choices'][0]['message']['content']
+#print(type(objective))

config.py

@@ -83,6 +83,7 @@ The json could be structured like this:
 PROMPT_TEMPLATE = """
 Please help us in defining proper OKRs.
 Here is what we have thought about and we would like to phrase an OKR with maximum 5 key results.
+The next OKR cycle is from JAN 2025 till APR 2025.
 
 this is the user input:
 {user_input}

proposer.py

@@ -16,6 +16,8 @@ def proposer_page():
         height=300,
     )
 
+    print("user_input:", user_input)
+
     generate_okrs_clicked = st.button("Generate OKR Proposal")
     #col1, col2 = st.columns([1, 1])
     #with col1:
@@ -28,10 +30,12 @@ def proposer_page():
         if not user_input.strip():
             st.warning("Please provide some input before generating OKRs.")
         else:
+            #user_input = st.session_state.get("user_input")
             with st.spinner("Generating OKRs..."):
                 # Construct prompt and call API
                 #prompt = construct_prompt(prompt_template=PROMPT_TEMPLATE, user_input=user_input)
                 response = fetch_okrs(user_input=user_input)
+                #print("user_input:", user_input)
                 if response:
                     # Extract Objective and Key Results from response
                     print(response)