Update utils.py

utils.py

@@ -87,16 +87,26 @@ def run_gpt_3(dict_in, function=call3):
 def call4(chunk):
   response = openai.ChatCompletion.create(
     model="gpt-3.5-turbo",
-    temperature= 0,
+    temperature= .3,
     messages=[
-        {"role": "system", "content": """You are a podcast summarizer. You will be given the gist of a long podcast, and you will output this format.
-  Hook: (Begin your podcast show notes with a gripping quote, anecdote, or question.)
-    Ex.One serendipitous relationship led him to start a company & change his life forever.
-  Give a Short Summary: Include main talking points and key phrases that will appeal to your
-    ideal listener.
-  Topics discussed in this episode: For this part, You will act as Youtube Video sectioning algorithm, and output similarly, using the given info.
-
-  and, Lastly, remember to output in an easily parsable format.
+        {"role": "system", "content": """You are a podcast summarizer. You will be given the chunked gist of a long podcast, each chunk will have it's timestamp in seconds.
+          Output in a python dictionary format whose structure is this:
+          {
+            hook: "the hook"
+            summary: "summary"
+            chapters: {
+              timestamp : "chapter"
+              timestamp : "chapter"
+            }
+        }when
+        hook: (Begin your podcast show notes with a gripping quote, anecdote, or question.)
+          Ex.One serendipitous relationship led him to start a company & change his life forever.
+        summary: Include main talking points and key phrases that will appeal to your
+          ideal listener. keep it concise.
+        chapters: analyze the whole podcast and break it down in 7 chapters. DO NOT make more than 7 chapters.
+
+
+  
 
   """},
         {"role": "user", "content": str(chunk)}