Update app.py

app.py

@@ -95,7 +95,7 @@ def get_gpt_response(input_text):
             return "No input provided.", "", "", "", ""
     
         conversation = [
-            {"role": "system", "content": "You are an experienced medical consultant, provides a SOAP note based on the input provided."},
+            {"role": "system", "content": "You are an experienced medical consultant who provides a SOAP note based on the information in the input provided."},
             {"role": "user", "content": input_text}
         ]
         response = openai.ChatCompletion.create(
@@ -140,7 +140,7 @@ def chatbot(input_text, input_voice, patient_name=None):
     # Get a response from GPT-3.5-turbo
     gpt_subjective, gpt_objective, gpt_assessment, gpt_plan, gpt_general = get_gpt_response(input_text)
     # Save GPT response to a file
-    gpt_file_path = os.path.join('SOAPWriterV01/GPTresponses', f"{patient_name}.txt")
+    gpt_file_path = os.path.join('/app/home/user/app/SOAPWriterV01/GPTresponses', f"{patient_name}.txt")
     with open(gpt_file_path, "a") as f:
         f.write(f"Subjective: {gpt_subjective}\nObjective: {gpt_objective}\nAssessment: {gpt_assessment}\nPlan: {gpt_plan}\nGeneral: {gpt_general}\n\n")
     index = GPTSimpleVectorIndex.load_from_disk('index.json')
@@ -149,7 +149,7 @@ def chatbot(input_text, input_voice, patient_name=None):
     soap_response = response_index.response
 
     patient_name = soap_response.split(' ')[1] if 'Subjective:' in soap_response else 'General'
-    patient_file_path = os.path.join('SOAPWriterV01/Docs', f"{patient_name}.txt")
+    patient_file_path = os.path.join('/app/home/user/app/SOAPWriterV01/Docs', f"{patient_name}.txt")
 
     if all(keyword.lower() in soap_response.lower() for keyword in ["subjective:", "objective:", "assessment:", "plan:"]):
         s_index = soap_response.lower().find('subjective:')
@@ -196,7 +196,7 @@ interface = Interface(
 )
 
 
-index = construct_index('SOAPWriterV01/Docs')
+index = construct_index('/app/home/user/app/SOAPWriterV01/Docs')
 interface.launch()