add: state for origin

app.py

@@ -331,6 +331,7 @@ def get_initial_analysis(
             link_start = "http"
         else:
             link_start = "https"
+
         if ct == "si":  # street interview
             prompt = f"""This is a transcript for a street interview. Transcript: {transcript}
 In this street interview, the host asks multiple questions to the interviewees.
@@ -345,6 +346,7 @@ Best Answer timestamp: [Timestamp: start_time - end_time]({link_start}://{{origi
 For Example:
 If the start time is 10:13 and end time is 10:18, the url will be:
 {link_start}://roll.ai/colab/1234aq_12314/51234151?st=613&et=618
+In the URL, make sure that after RSID there is ? and then rest of the fields are added via &.
 """
         else:
             prompt = f"""Given the transcript {transcript}, For All the speakers, short list all people, news, events, trends, and source that are discussed by speakers along with the start time of that topic and end time of that topic from the transcript. Rank all topics based on what would make for the best social clips. I need atleast 3 topics per speaker.
@@ -388,7 +390,6 @@ def chat(
             link_start = "http"
         else:
             link_start = "https"
-
         prompt = f"""You are a helpful assistant analyzing transcripts and generating timestamps and URL. Call ID is {cid}, Session ID is {rsid}, origin is {origin}, Call Type is {ct}.
 Transcript:\n{transcript_processor.get_transcript()}
 If a user asks timestamps for a specific topic, find the start time and end time of that specific topic and return answer in the format: 
@@ -398,6 +399,8 @@ Topic: Heading [Timestamp: start_time - end_time]({link_start}://{{origin}}/coll
 For Example:
 If the start time is 10:13 and end time is 10:18, the url will be:
 {link_start}://roll.ai/colab/1234aq_12314/51234151?st=613&et=618
+In the URL, make sure that after RSID there is ? and then rest of the fields are added via &.
+
 """
         messages = [{"role": "system", "content": prompt}]
 
@@ -540,6 +543,8 @@ def create_chat_interface():
                 transcript_processor_state,
                 call_id_state,
                 colab_id_state,
+                origin_state,
+                ct_state,
             ],
             [msg, chatbot],
         )