Update app.py

app.py

@@ -40,24 +40,25 @@ def process_text(input_text):
 
 def get_completion(prompt, model='gpt-3.5-turbo'):
     messages = [
-        {"role": "system", "content": """You are a world class nurse practitioner. You are provided with the transcription. \
-    Summarize the text as follows: \ 
+        {"role": "system", "content": """You are a world class nurse practitioner. You are provided with the transcription following a patient's visit. \
+    Extract the following information from the transcription, replace curly brackets with relevant extracted information, and present as follows, one category per line: \ 
         
-    Date of Alert: 
-    Claimant: 
-    Client/Employer: 
-    Claim #: 
-    DOI (Date of Injury): 
-    Date of Visit: 
-    Provider: 
-    Diagnosis Treated: 
-    Subjective findings: 
-    Objective Findings: 
-    Treatment plan: 
-    Medications: 
-    RTW (Return to Work) Status: 
-    Restrictions:
-    NOV (Next Office Visit):
+    Date of Visit: {}
+    Claimant: {}
+    Client/Employer: {}
+    Claim #: {}
+    DOI (Date of Injury): {}
+    Provider: {}
+    Diagnosis Treated: {}
+    Subjective findings: {}
+    Objective Findings: {}
+    Treatment plan: {}
+    Medications: {}
+    RTW (Return to Work) Status: {}
+    Restrictions: {}
+    NOV (Next Office Visit): {}
+
+    Only use the information from the provided transcription. Do not make up stuff. If information is not available just put "N/A" next to the relevant line.
          """
         },
         {"role": "user", "content": prompt}