in theory added interactions

app.py

@@ -11,22 +11,22 @@ os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
 client = OpenAI()
 
 # These are the necessary components that make up the Interactions
-#class Role(str, Enum):
-#    PARTNER = 'partner'
-#    STAFF = 'staff'
-#    AGRONOMIST = 'agronomist'
-#    OTHER = 'other'
+class Role(str, Enum):
+    PARTNER = 'partner'
+    STAFF = 'staff'
+    AGRONOMIST = 'agronomist'
+    OTHER = 'other'
     
-#class Person(BaseModel):
-#    name: str = Field(..., title="Name", description="Name of this person") 
-#    role: Role = Field(..., title="Role", description="Role of this person")
+class Person(BaseModel):
+    name: str = Field(..., title="Name", description="Name of this person") 
+    role: Role = Field(..., title="Role", description="Role of this person")
     
-#class Interactions(BaseModel):
-#    people: List[Person] = Field(..., title="People", description="People involved or mentioned during interaction")
-#    date: str = Field(..., title="Date of current interaction", description="Date of the interaction")
-#    nextMeeting: str = Field(..., title="Date of next meeting", description="Proposed date of the next future interaction")
-#    nextSteps: List[str] = Field(..., title="Next Steps", description="List of individual next steps derived from the interaction")
-#    summary: str = Field(..., title="Summary", description="Summary of the interaction")
+class Interactions(BaseModel):
+    people: List[Person] = Field(..., title="People", description="People involved or mentioned during interaction")
+    date: str = Field(..., title="Date of current interaction", description="Date of the interaction")
+    nextMeeting: str = Field(..., title="Date of next meeting", description="Proposed date of the next future interaction")
+    nextSteps: List[str] = Field(..., title="Next Steps", description="List of individual next steps derived from the interaction")
+    summary: str = Field(..., title="Summary", description="Summary of the interaction")
 
 # These are the components for Farm Activities, Fields, and Plantings
 class Status(str, Enum):
@@ -133,10 +133,24 @@ def generate_json(specification, model_version):
 
         pretty_json = generated_json.json()
 
+        another_response = client.beta.chat.completions.parse(
+            model=model_version,  # Use GPT model that supports structured output
+            messages=[
+                {"role": "system", "content": "Extract the farm information."},
+                {"role": "user", "content": specification}
+            ],
+            response_format=Interactions,
+        )
+        
+        another_generated_json = another_response.choices[0].message.parsed
+        print(another_generated_json) # debugging 2
+
+        another_pretty_json = another_generated_json.json()
+
         if 'error' in response:
             raise ValueError(f"API error: {response['error']['message']}")
             
-        return pretty_json
+        return pretty_json, another_pretty_json
 
     except ValidationError as e:
         return {"error": str(e)}
@@ -249,7 +263,8 @@ with gr.Blocks() as demo:
     soil_data_input = gr.Textbox(label="Enter your soil data", placeholder="Description, Structure, Biology", visible=False)
     yield_data_input = gr.Textbox(label="Enter your yield data", placeholder="Quantity, Quality", visible=False)
     
-    output_box = gr.Textbox(label="JSON Data Output")
+    output_box = gr.Textbox(label="Fields and Activities Data")
+    another_output_box = gr.Textbox(label="Interactions Data")
     
     def update_visibility(radio, additional_options):
         value = radio 
@@ -274,7 +289,7 @@ with gr.Blocks() as demo:
     submit_button.click(
         fn=process_specifications,
         inputs=[data_input, model_version_input, json_creation_input, additional_json_creation_options, field_data_input, planting_data_input, logs_data_input, soil_data_input, yield_data_input],
-        outputs=[output_box]
+        outputs=[output_box, another_output_box]
     )
 
     clear_button = gr.ClearButton(components=[data_input, model_version_input, json_creation_input, additional_json_creation_options, field_data_input, planting_data_input, logs_data_input, soil_data_input, yield_data_input])