Update app.py

app.py

@@ -6,7 +6,7 @@ if 'learning_objectives' not in st.session_state:
     st.session_state.learning_objectives = ""
 
 # Streamlit User Input Form
-st.title("Lesson Plan Generator")
+st.title("Patent Claims Extraction")
 
 # API Key Input
 api_key = st.text_input("Enter your OpenAI API Key:", type="password")
@@ -18,65 +18,57 @@ model_choice = st.selectbox(
 )
 
 # Context, Subject, and Level
-context = "Your goal is to create an effective lesson plan."
-subject = st.text_input("Subject:", "Mathematics")
-level = st.text_input("Education Level:", "High School")
+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")
 
 # Initialize OpenAI API
 if api_key:
     openai.api_key = api_key
 
 # Learning Objectives
-st.write("### Learning Objectives:")
+st.write("### Patentable Claims:")
 # Initialize autogenerated objectives
-autogenerated_objectives = ""
+claims_extraction = ""
 # Initialize status placeholder
 learning_status_placeholder = st.empty()
 disable_button_bool = False
-if subject and level and api_key and st.button("Generate Learning Objectives",key="generate_learning_objectives",disabled=disable_button_bool):
+if userinput and api_key and st.button("Extract Claims",key="claims_extraction",disabled=disable_button_bool):
 
     # Display status message
     learning_status_placeholder.text("Generating learning objectives...")
     # API call to generate objectives
-    learning_objectives_response = openai.ChatCompletion.create(
+    claims_extraction_response = openai.ChatCompletion.create(
         model=model_choice,
         messages=[
-            {"role": "user", "content": f"Generate learning objectives for a {level} level {subject} lesson."}
+            {"role": "user", "content": f"Extract any patentable claims from the following: \n {userinput}. \n extract each claim. Briefly explain why you extracted this wordphrase. Exclude any additional commentary."}
         ]
     )
     # Extract the generated objectives from the API response
-    learning_objectives=learning_objectives_response['choices'][0]['message']['content']
+    claims_extraction=claims_extraction_response['choices'][0]['message']['content']
     
     # Save generated objectives to session state
-    st.session_state.learning_objectives = learning_objectives.strip()
+    st.session_state.claims_extraction = claims_extraction.strip()
     
     # Display generated objectives
-    learning_status_placeholder.text(f"Learning objectives generated!\n{learning_objectives.strip()}")
+    learning_status_placeholder.text(f"Patentable Claims Extracted!\n{claims_extraction.strip()}")
     
 # Generate Lesson Plan Button
-if st.button("Generate Lesson Plan") and api_key:
+if st.button("Extract Claims") and api_key:
     
     # Construct the prompt as a dictionary
     prompt_dict = {
         "context": context,
-        "subject": subject,
-        "level": level,
-        "learning_objectives": st.session_state.learning_objectives,
+        "userinput": userinput,
+        "claims_extraction": st.session_state.claims_extraction,
         "tasks": [
-            {"task": "Curate educational material", "objective": "To provide accurate and relevant information"},
-            {"task": "Evaluate the material", "objective": "To ensure alignment with educational standards"},
-            {"task": "Create assessment tools", "objective": "To measure student understanding and retention"},
-            {"task": "Design interactive activities", "objective": "To facilitate active learning and engagement"}
+            {"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"},
+            {"task": "Explain Your Choice", "objective": "Briefly explain why you have retained each claim"},
+            {"task": "Check Your Work", "objective": "Check your work to assure you have not forgotten any claims"}
         ],
-        "output_format": """Present the lesson plan in a structured format.
-        \nTitle: 
-        \nGrade Level: RESTATED FROM ABOVE
-        \nSubject:  RESTATED FROM ABOVE
-        \nObjectives: RESTATED FROM ABOVE
-        \nActivities: 
-        \nAssessment: Application of knowledge and skills through a task
-        \nProcedure: Formatted as a list of steps and substeps
-        \nResources:
+        "output_format": """Present in a structured format.
+        \nClaim: 
+        \nExplanation:
         \nNotes:
         
         """
@@ -94,11 +86,11 @@ if st.button("Generate Lesson Plan") and api_key:
     )
 
     # Display status message
-    lesson_plan=st.text("Generating lesson plan...")
+    lesson_plan=st.text("Extracting Patentable Claims...")
 
-    # Extract and display the lesson plan
-    assistant_reply = lesson_plan_response['choices'][0]['message']['content']
-    lesson_plan=st.text(assistant_reply.strip())
+    # Extract and display
+    assistant_reply = claims_extraction_response['choices'][0]['message']['content']
+    claims_extraction=st.text(assistant_reply.strip())
 
-# Citation for the GitHub repo
-st.markdown("<sub>This app was created by [Taylor Ennen](https://github.com/taylor-ennen/GPT-Streamlit-MVP)</sub>", unsafe_allow_html=True)
+# Citation 
+st.markdown("<sub>This app was created by [Tonic](https://huggingface.co/tonic)</sub>", unsafe_allow_html=True)