temp comment out

app.py

@@ -139,42 +139,42 @@ def generate_json(specification, model_version):
 
     try:
         # Call OpenAI API to generate structured output based on prompt
-        farm_info_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=FarmActivities,
-        )
-
-        if 'error' in farm_info_response:
-            raise ValueError(f"API error: {interactions_response['error']['message']}")
+        #farm_info_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=FarmActivities,
+        #)
+
+        #if 'error' in farm_info_response:
+        #    raise ValueError(f"API error: {interactions_response['error']['message']}")
             
-        farm_generated_json = farm_info_response.choices[0].message.parsed
-        print("FARM JSON: ")
-        print(farm_generated_json) # debugging
-
-        farm_pretty_json = farm_generated_json.json()
-
-        interactions_response = client.beta.chat.completions.parse(
-            model=model_version,  # Use GPT model that supports structured output
-            messages=[
-                {"role": "system", "content": "Extract the interactions information."},
-                {"role": "user", "content": specification}
-            ],
-            response_format=Interactions,
-        )
-
-        if 'error' in interactions_response:
-            raise ValueError(f"API error: {interactions_response['error']['message']}")
+        #farm_generated_json = farm_info_response.choices[0].message.parsed
+        #print("FARM JSON: ")
+        #print(farm_generated_json) # debugging
+
+        #farm_pretty_json = farm_generated_json.json()
+
+        #interactions_response = client.beta.chat.completions.parse(
+        #    model=model_version,  # Use GPT model that supports structured output
+        #    messages=[
+        #        {"role": "system", "content": "Extract the interactions information."},
+        #        {"role": "user", "content": specification}
+        #    ],
+        #    response_format=Interactions,
+        #)
+
+        #if 'error' in interactions_response:
+        #    raise ValueError(f"API error: {interactions_response['error']['message']}")
             
-        interactions_generated_json = interactions_response.choices[0].message.parsed
+        #interactions_generated_json = interactions_response.choices[0].message.parsed
 
-        print("INTERACTIONS JSON: ")
-        print(interactions_generated_json) # debugging 2
+        #print("INTERACTIONS JSON: ")
+        #print(interactions_generated_json) # debugging 2
 
-        interactions_pretty_json = interactions_generated_json.json()
+        #interactions_pretty_json = interactions_generated_json.json()
 
 
         trial_response = client.beta.chat.completions.parse(
@@ -196,8 +196,8 @@ def generate_json(specification, model_version):
 
         trial_pretty_json = trial_generated_json.json()
 
-            
-        return [farm_pretty_json, interactions_pretty_json, trial_pretty_json]
+        return trial_pretty_json
+        #return [farm_pretty_json, interactions_pretty_json, trial_pretty_json]
 
     except ValidationError as e:
         return {"error": str(e)}
@@ -315,8 +315,8 @@ with gr.Blocks() as demo:
 
     with gr.Row():
         farm_output_box = gr.Textbox(label="Fields and Activities Output Data")
-        interactions_output_box = gr.Textbox(label="Interactions Output Data")
-        trials_output_box = gr.Textbox(label="Trials Output Data")
+        #interactions_output_box = gr.Textbox(label="Interactions Output Data")
+        #trials_output_box = gr.Textbox(label="Trials Output Data")
     
     def update_visibility(radio, additional_options):
         value = radio 
@@ -341,7 +341,8 @@ 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=[farm_output_box, interactions_output_box, trials_output_box]
+        outputs=[farm_output_box]
+        #outputs=[farm_output_box, interactions_output_box, trials_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])