Minor refactor in til prompts

crew/til.py

@@ -74,9 +74,10 @@ class TilCrew:
                 "1. Is the TIL insightful?"
                 "2. Is the TIL factually correct and accurate?"
                 "3. Is the TIL written in simple english?"
-                "4. Is the TIL grammatically correct?"
+                "4. Is the TIL grammatically correct?\n"
 
-                "Can you provide a score for on the scale of 10 for each of the TIL on each of these criteria and provide reasons for the score, the reason should be presented in the POV of the Personal TIL Reviewer."
+                "Can you provide a score for on the scale of 10 for each of the TIL on each of these criteria and provide reasons for the score, "
+                " the reason/feedback should be presented in the Point Of View of the Reviewer and the feedback should be direct."
                 f"Formatting Instructions: {feedback_parser.get_format_instructions()}"
             ),
             HumanMessagePromptTemplate.from_template("{til_content}")
@@ -93,16 +94,16 @@ 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 scores should be based solely on insightful criteria, with no other factors considered.")
-    insightful_reason: str = Field(description="Reason for low insightful_score if it is not 10")
+    insightful_reason: str = Field(description="Feedback for low insightful_score if it is not 10")
     factuality_score: int = Field(
         description="TIL scores should be based solely on factuality criteria, with no other factors considered.")
-    factuality_reason: str = Field(description="Reason for low factuality_score if it is not 10")
+    factuality_reason: str = Field(description="Feedback for low factuality_score if it is not 10")
     simplicity_score: int = Field(
         description="TIL scores should be based solely on simplicity criteria, with no other factors considered.")
-    simplicity_reason: str = Field(description="Reason for low simplicity_score if it is not 10")
+    simplicity_reason: str = Field(description="Feedback for low simplicity_score if it is not 10")
     grammatical_score: int = Field(
         description="TIL scores should be based solely on grammatical criteria, with no other factors considered.")
-    grammatical_reason: str = Field(description="Reason for low grammatical_score if it is not 10")
+    grammatical_reason: str = Field(description="Feedback for low grammatical_score if it is not 10")
     final_suggestion: str = Field(
         description="Final suggested version of the TIL")
 

test.py

@@ -27,7 +27,11 @@ def main():
                                "* 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')
+                               "* Disadvantages: Answers are less precise\n"
+                               "* Today I learnt Sidecar pattern\n"
+                               "*  Learnt about go-lang routines to add concurrency in the React App.\n"
+                               "* 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.\n",
+                               key='til_content', help='Enter what you learnt today')
 
     if st.button("Get Feedback"):
         with st.status(