Validated the endpoints

main.py

@@ -6,7 +6,8 @@ import pandas as pd
 from typing import Optional , List
 from my_agent.utils.initial_interaction import IntroductionChatbot
 from my_agent.utils.business_interaction import BusinessInteractionChatbot
-# from my_agent.utils.check import BusinessInteractionChatbot
+from my_agent.utils.utils import save_to_db
+import ast
 
 
 from my_agent.utils.utils import encode_image_to_base64 , generate_final_story, generate_image
@@ -30,6 +31,12 @@ def business_introduction_chat(msg: UserMessage):
     response = introduction_chatbot.chat(msg.message)
     if introduction_chatbot.is_complete(response):
         details = introduction_chatbot.extract_details()
+        details = details.model_dump()
+        print('Business_details:',details)
+        if isinstance(details, str):
+            details= ast.literal_eval(details)
+        print('Details Type:',type(details))
+        save_to_db(details)
         stored_data['business_details'] = details
         return {"response": response, "business_details": details, "complete": True}
     return {"response": response, "complete": False}
@@ -38,12 +45,11 @@ def business_introduction_chat(msg: UserMessage):
 
 @app.post("/business-interaction2")
 def business_interaction_chat(interaction: str):
-    response = interaction_chatbot2.chat(interaction)
+    business_details = {"business_type": "restaurant", "platform": "instagram", "target_audience": "youths", "business_goals": "to go global", "offerings": "nepali foods", "Challenges_faced": "finding new customers, attracting large customers"}
+    response = interaction_chatbot2.chat(interaction , business_details)
     return {'response': response}
 
 
-
-
 @app.post("/brainstrom")
 def brainstroming_endpoint(
     query: List[str],  # sent as JSON body