modified inital prompt for til

crew/til.py

@@ -92,16 +92,16 @@ class TilCrew:
 class TilFeedbackResult(BaseModel):
     til: str = Field(description="TIL content the user has provided on which we are performing the analysis.")
     insightful_score: int = Field(
-        description="TIL score on insightful criteria")
+        description="TIL score on insightful criteria and shouldn't take anything else into account.")
     insightful_reason: str = Field(description="Reason for low insightful_score if it is not 10")
     factuality_score: int = Field(
-        description="TIL score on factuality criteria and correctness of the statement")
+        description="TIL score on factuality criteria and shouldn't take anything else into account.")
     factuality_reason: str = Field(description="Reason for low factuality_score if it is not 10")
     simplicity_score: int = Field(
-        description="TIL score on simplicity criteria")
+        description="TIL score on simplicity criteria and shouldn't take anything else into account.")
     simplicity_reason: str = Field(description="Reason for low simplicity_score if it is not 10")
     grammatical_score: int = Field(
-        description="TIL score on grammatical criteria")
+        description="TIL score on grammatical criteria and shouldn't take anything else into account.")
     grammatical_reason: str = Field(description="Reason for low grammatical_score if it is not 10")
     final_suggestion: str = Field(
         description="Final suggested version of the TIL")

test.py

@@ -8,8 +8,10 @@ from streamlit_extras.capture import stdout
 # results = crew.kickoff(inputs={"content": "Upon delving into the intricacies of Docker, I have acquired the capability to encapsulate our application within containers, thereby streamlining the deployment process across a multitude of heterogeneous environments."})
 # print(results)
 
+
 def main():
-    st.set_page_config(page_title='Today I Learnt', page_icon='📰', layout='wide')
+    st.set_page_config(page_title='Today I Learnt',
+                       page_icon='📰', layout='wide')
     st.markdown("<div class='container'>", unsafe_allow_html=True)
 
     st.markdown(
@@ -21,7 +23,11 @@ def main():
         """,
         unsafe_allow_html=True
     )
-    til_content = st.text_area('Enter what you learnt today:', 'Upon delving into the intricacies of Docker, I have acquired the capability to encapsulate our application within containers, thereby streamlining the deployment process across a multitude of heterogeneous environments.', key='til_content', help='Enter what you learnt today')
+    til_content = st.text_area('Enter what you learnt today:',
+                               "* Qunatization is the process of reducing the size of LLM models by reducing the underlying weights.\n"
+                               "* The weights are reduced by scaling down the datatypes from a datatype that takes larger space to a data type that takes a smaller space, this is also knows as downcasting.\n"
+                               "* Advantages: takes lesser space and increases compute speed\n"
+                               "* Disadvantages: Answers are less precise", key='til_content', help='Enter what you learnt today')
 
     if st.button("Get Feedback"):
         with st.status(
@@ -40,13 +46,14 @@ def main():
             )
 
         for result in results:
-          st.markdown(f"#### TIL: {result['til']}")
-          st.markdown(f"**Feedback:** {result['feedback']}")
-          if result['feedback'] == "not_ok":
-            st.markdown(f"**Criteria:** {result['feedback_criteria']}")
-            st.markdown(f"**Reason:** {result['reason']}")
-            if result.get('suggestion') is not None:
-              st.markdown(f"**Suggestion:** {result['suggestion']}")
+            st.markdown(f"#### TIL: {result['til']}")
+            st.markdown(f"**Feedback:** {result['feedback']}")
+            if result['feedback'] == "not_ok":
+                st.markdown(f"**Criteria:** {result['feedback_criteria']}")
+                st.markdown(f"**Reason:** {result['reason']}")
+                if result.get('suggestion') is not None:
+                    st.markdown(f"**Suggestion:** {result['suggestion']}")
+
 
 if __name__ == "__main__":
     main()