Update app.py

app.py

@@ -50,10 +50,10 @@ def respond(
         yield response, history + [(message, response)]
 
 def generate_case_outcome(prosecutor_response, defense_response):
-    prompt = f"Prosecutor's Argument: {prosecutor_response}\nDefense Attorney's Argument: {defense_response}\n\nEvaluate both arguments, point out the strengths and weaknesses, and determine who won the case. Provide reasons for your decision."
+    prompt = Provide details on who won the case and why. Provide reasons for your decision and provide a link to the source of the case."
     evaluation = ""
     for message in client.chat_completion(
-        [{"role": "system", "content": "You are a legal expert evaluating the arguments presented by the prosecution and the defense."},
+        [{"role": "system", "content": "You are a legal expert evaluating the details of the case presented by the prosecution and the defense."},
          {"role": "user", "content": prompt}],
         max_tokens=512,
         stream=True,
@@ -202,10 +202,10 @@ def update_pdf_gallery_and_extract_text(pdf_files):
     return pdf_files, pdf_text
 
 def get_top_10_cases():
-    prompt = "Give me a list of the current top 10 cases in the country being discussed by the top lawyers in the country."
+    prompt = " 10 high-profile legal cases that have received significant media attention and are currently ongoing. Just a list of case names and numbers"
     response = ""
     for message in client.chat_completion(
-        [{"role": "system", "content": "You are a legal expert providing information about top legal cases."},
+        [{"role": "system", "content": "You are a legal research expert, able to provide information about high-profile legal cases."},
          {"role": "user", "content": prompt}],
         max_tokens=512,
         stream=True,
@@ -222,7 +222,7 @@ def add_message(history, message):
         history.append(((x,), None))
     if message["text"] is not None:
         history.append((message["text"], None))
-    return history, gr.MultimodalTextbox(value=None, interactive=False)
+    return history, gr.MultimodalTextbox(value=None, interactive=True)
 
 def bot(history):
     system_message = "You are a helpful assistant."