Update app.py

app.py

@@ -19,7 +19,7 @@ model_choice = st.selectbox(
 
 # Context, Subject, and Level
 context = "You are a patent claims identifier and extractor. You will freeform text, identify any claims contained therein that may be patentable. You identify , extract, print such claims, briefly explain why each claim is patentable."
-userinput = st.text_input("Input Text:", "Mathematics")
+userinput = st.text_input("Input Text:", "Freeform text here!")
 
 # Initialize OpenAI API
 if api_key:
@@ -47,11 +47,11 @@ if userinput and api_key and st.button("Extract Claims",key="claims_extraction",
     claims_extraction=claims_extraction_response['choices'][0]['message']['content']
     
     # Save generated objectives to session state
-    st.session_state.claims_extraction = claims_extraction.strip()
+    # st.session_state.claims_extraction = claims_extraction.strip()
     
     # Display generated objectives
     learning_status_placeholder.text(f"Patentable Claims Extracted!\n{claims_extraction.strip()}")
-    
+
 # Generate Lesson Plan Button
 if st.button("Extract Claims") and api_key:
     
@@ -59,7 +59,7 @@ if st.button("Extract Claims") and api_key:
     prompt_dict = {
         "context": context,
         "userinput": userinput,
-        "claims_extraction": st.session_state.claims_extraction,
+        "claims_extraction": claims_extraction.strip(),  # Use the claims_extraction variable
         "tasks": [
             {"task": "Extract Claims", "objective": "extract any wordphrases in the text provided that could be considered a patentable claim"},
             {"task": "Extract Every Claim", "objective": "Ensure each and every wordphrase with a claim is evaluated whether or not it is patentable"},
@@ -73,6 +73,7 @@ if st.button("Extract Claims") and api_key:
         
         """
     }
+
     
     # Convert the dictionary to a string
     prompt_str = str(prompt_dict)