Update app.py

app.py

@@ -11,24 +11,24 @@ os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
 client = OpenAI()
 
 # These are the necessary components that make up the Trials 
-class Variables(BaseModel):
-    controlled: List[str] = Field(..., title="Controlled Variables", description="A list of controlled variables, which will be constant (controlled) across all trials")
-    independent: List[str] = Field(..., title="Independent Variables", description="A list of independent variables (ie treatments), which will be intentionally varied across one or more trials")
-    outcome: List[str] = Field(..., title="Outcome Variables", description="A list of outcome variables (ie dependent or response variables)")
-
-class Treatment(BaseModel):
-    name: str = Field(..., title="Name", description="The treatment name")
-    description: str = Field(..., title="Description", description="The treatment description, including the conditions within this treatment")
-    crops: List[str] = Field(..., title="Crops", description="A list of crops being tested in this treatment")
-    fields: List[str] = Field(..., title="Fields", description="A list of fields in which this treatment has occured or will occur")
-    learnings: List[str] = Field(..., title="Learnings", description="A list of lessons learned from this experiment")
-    variables: Variables = Field(..., title="Variables", description="Variables (ie factors) in this experiment. Some variables are constant (controlled) and some will vary in order to learn something (independent)")
-    confoundingFactors: List[str] = Field(..., title="Confounding Factors", description="A list of factors which may impact the outcomes of the experiment that were not planned for")
+#class Variables(BaseModel):
+#    controlled: List[str] = Field(..., title="Controlled Variables", description="A list of controlled variables, which will be constant (controlled) across all trials")
+#    independent: List[str] = Field(..., title="Independent Variables", description="A list of independent variables (ie treatments), which will be intentionally varied across one or more trials")
+#    outcome: List[str] = Field(..., title="Outcome Variables", description="A list of outcome variables (ie dependent or response variables)")
+
+#class Treatment(BaseModel):
+#    name: str = Field(..., title="Name", description="The treatment name")
+#    description: str = Field(..., title="Description", description="The treatment description, including the conditions within this treatment")
+#    crops: List[str] = Field(..., title="Crops", description="A list of crops being tested in this treatment")
+#    fields: List[str] = Field(..., title="Fields", description="A list of fields in which this treatment has occured or will occur")
+#    learnings: List[str] = Field(..., title="Learnings", description="A list of lessons learned from this experiment")
+#    variables: Variables = Field(..., title="Variables", description="Variables (ie factors) in this experiment. Some variables are constant (controlled) and some will vary in order to learn something (independent)")
+#    confoundingFactors: List[str] = Field(..., title="Confounding Factors", description="A list of factors which may impact the outcomes of the experiment that were not planned for")
 
 class Trial(BaseModel):
     name: str = Field(..., title="Name", description="The name of this trial") 
     description: str = Field(..., title="Description", description="A description of this trial") 
-    treatments: List[Treatment] = Field(..., title="Treatments", description="A list of different treatments (strips or blocks with the same conditions applied) performed by the partner") 
+    treatments: List[str] = Field(..., title="Treatments", description="A list of different treatments (strips or blocks with the same conditions applied) performed by the partner") 
 
 #################################################################################
 # These are the necessary components that make up the Interactions