remove: reasoning prompt

app.py

@@ -189,8 +189,6 @@ class TranscriptProcessor:
                 print("No agenda found in any description tags.")
                 return
 
-            print(self.speaker_mapping)
-
             prompt = (
                 f"Given the original speaker mapping {self.speaker_mapping}, agenda:\n{agenda}, and the transcript: {self.formatted_transcript}\n\n"
                 "Some speaker names in the mapping might have spelling errors or be incomplete."
@@ -489,71 +487,68 @@ CRITICAL: When analyzing timestamps, you must verify that in the duration specif
 2. The speaker talks continuously for at least 20 seconds
 3. The clip ends BEFORE any interruption or speaker change
 """
-            start_end_sentence_prompt = f"""Given a transcript with speakers {" , ".join(speaker_mapping.values())}, analyze the content and identify segments that would make compelling social media clips. For each speaker, find complete topics that meet the following criteria:
-
-Key Requirements:
-1. Speaker Isolation
-- Each clip must contain only ONE speaker
-- No interruptions from other speakers allowed within the clip
-- Once another speaker interrupts, the previous speaker's clip must end
-
-2. Duration Guidelines
-- Minimum: 20 seconds of continuous speech
-- Maximum: 100 seconds
-- Must capture complete thoughts/topics
-
-3. Content Selection
-- Focus on interesting or noteworthy content
-- Topics should be self-contained and coherent
-- Must include both the starting and ending sentences that bound the topic
-- You can do 2 or 3 topics per speaker if there is more content for that speaker.
-
-Expected Output Format:
-```json
-{{
-    "Speaker_Name": [
-        {{
-            "Topic_Title": "<descriptive title of the topic>",
-            "Starting_Sentence": "<exact first sentence of the topic>",
-            "Ending_Sentence": "<exact last sentence before any interruption or topic change>"
-        }},
-        // Additional topics for this speaker...
-    ],
-    // Additional speakers...
-}}
-
-Example:
-If a transcript contains:
-[10:13] Speaker1: "First sentence..."
-[10:20] Speaker1: "nth sentence..."
-[10:17] Speaker2: "Interruption..."
-[10:19] Speaker1: "nth+1 sentence..."
-
-The valid ending sentence for Speaker1 would only include the first n sentences, ending before Speaker2's interruption.
-
-Important:
-- Ensure each clip represents a single, uninterrupted segment from one speaker
-- Include only complete thoughts/statements
-- Verify that no other speakers appear between the selected start and end sentences
-"""
-
-            sentence_finding_completion = client.chat.completions.create(
-                model="gpt-4o",
-                messages=[
-                    {"role": "system", "content": start_end_sentence_prompt},
-                ],
-                stream=False,
-                temperature=0.2,
-            )
-            sentence_finding = sentence_finding_completion.choices[0].message.content
-            sentence_finding_json = sentence_finding[
-                sentence_finding.find("{") : sentence_finding.rfind("}") + 1
-            ]
-
-            print(sentence_finding_json)
+            #             start_end_sentence_prompt = f"""Given a transcript with speakers {" , ".join(speaker_mapping.values())}, analyze the content and identify segments that would make compelling social media clips. For each speaker, find complete topics that meet the following criteria:
+
+            # Key Requirements:
+            # 1. Speaker Isolation
+            # - Each clip must contain only ONE speaker
+            # - No interruptions from other speakers allowed within the clip
+            # - Once another speaker interrupts, the previous speaker's clip must end
+
+            # 2. Duration Guidelines
+            # - Minimum: 20 seconds of continuous speech
+            # - Maximum: 100 seconds
+            # - Must capture complete thoughts/topics
+
+            # 3. Content Selection
+            # - Focus on interesting or noteworthy content
+            # - Topics should be self-contained and coherent
+            # - Must include both the starting and ending sentences that bound the topic
+            # - You can do 2 or 3 topics per speaker if there is more content for that speaker.
+
+            # Expected Output Format:
+            # ```json
+            # {{
+            #     "Speaker_Name": [
+            #         {{
+            #             "Topic_Title": "<descriptive title of the topic>",
+            #             "Starting_Sentence": "<exact first sentence of the topic>",
+            #             "Ending_Sentence": "<exact last sentence before any interruption or topic change>"
+            #         }},
+            #         // Additional topics for this speaker...
+            #     ],
+            #     // Additional speakers...
+            # }}
+
+            # Example:
+            # If a transcript contains:
+            # [10:13] Speaker1: "First sentence..."
+            # [10:20] Speaker1: "nth sentence..."
+            # [10:17] Speaker2: "Interruption..."
+            # [10:19] Speaker1: "nth+1 sentence..."
+
+            # The valid ending sentence for Speaker1 would only include the first n sentences, ending before Speaker2's interruption.
+
+            # Important:
+            # - Ensure each clip represents a single, uninterrupted segment from one speaker
+            # - Include only complete thoughts/statements
+            # - Verify that no other speakers appear between the selected start and end sentences
+            # """
+
+            #             sentence_finding_completion = client.chat.completions.create(
+            #                 model="gpt-4o",
+            #                 messages=[
+            #                     {"role": "system", "content": start_end_sentence_prompt},
+            #                 ],
+            #                 stream=False,
+            #                 temperature=0.2,
+            #             )
+            #             sentence_finding = sentence_finding_completion.choices[0].message.content
+            #             sentence_finding_json = sentence_finding[
+            #                 sentence_finding.find("{") : sentence_finding.rfind("}") + 1
+            #             ]
 
             user_prompt = f"""User ID: {uid}
-Short Listed Topics and Sentences: {sentence_finding_json}
 
 Your task is to find the starting time, ending time, and the duration for the each topic in the above Short Listed Topics. You need to return the answer in the following format.
 
@@ -566,8 +561,6 @@ SPEAKER FORMAT:
 **Speaker Name**
 ....
 """
-            # print("User Prompt is:\n", user_prompt)
-            # print("System Prompt is:\n", system_prompt)
             completion = client.chat.completions.create(
                 model="gpt-4o",
                 messages=[
@@ -1052,7 +1045,6 @@ def create_chat_interface():
 
         # Handle initial loading with streaming
         def on_app_load(request: gr.Request):
-            # print("App loaded")
             cid = request.query_params.get("cid", None)
             rsid = request.query_params.get("rsid", None)
             origin = request.query_params.get("origin", None)