Update app.py

reverted to the working version

app.py

@@ -38,8 +38,6 @@ def record_unknown_question(question):
         writer.writerow([question])
     return {"recorded": "ok"}
 
-
-    
 # JSON definitions for tools
 record_user_details_json = {
     "name": "record_user_details",
@@ -75,6 +73,21 @@ tools = [
 ]
 
 class Me:
+    def __init__(self):
+        self.openai = gemini
+        self.name = "SnehaLeela"
+
+        # Load profile JSON
+        with open("profile.json", "r", encoding="utf-8") as f:
+            self.profile = json.load(f)
+
+        # Set attributes for easier access
+        self.personal_info = self.profile.get("personal_info", {})
+        self.expertise = self.profile.get("expertise", [])
+        self.experience = self.profile.get("experience", [])
+        self.education = self.profile.get("education", [])
+        self.friends = self.profile.get("friends", [])
+
     # Handle tool calls
     def handle_tool_call(self, tool_calls):
         results = []
@@ -84,10 +97,22 @@ class Me:
             tool = globals().get(tool_name)
             result = tool(**arguments) if tool else {}
             results.append({"role": "tool", "content": json.dumps(result), "tool_call_id": tool_call.id})
-
         return results
 
     # System prompt for LLM
+    def system_prompt(self):
+        # Combine experience into text
+        experience_text = ""
+        for company in self.experience:
+            experience_text += f"{company['company']}"
+            if 'location' in company:
+                experience_text += f" ({company['location']})"
+            for role in company.get('roles', []):
+                experience_text += f"\n- {role['title']} ({role.get('years', '')})"
+                for hl in role.get('highlights', []):
+                    experience_text += f"\n  • {hl}"
+            experience_text += "\n"
+
         expertise_text = ", ".join(self.expertise)
 
         education_text = ""
@@ -113,9 +138,35 @@ class Me:
             f"## Interests:\n{', '.join(self.personal_info.get('personal_interests', []))}\n\n"
             f"## Travel History:\n{', '.join(self.personal_info.get('travel_history', []))}\n\n"
             f"## Education:\n{education_text}\n\n"
+            f"## Expertise:\n{expertise_text}\n\n"
             f"## Experience:\n{experience_text}\n\n"
             f"## Friends (for fun):\n{friends_text}\n\n"
             f"## LinkedIn Profile:\nhttps://www.linkedin.com/in/sneha-leela-0a450349/\n\n"
             f"Chat with the user staying in character as {self.personal_info['name']}."
         )
-        return system_prompt
+        return system_prompt
+
+    # Main chat function
+    def chat(self, message, history):
+        messages = [{"role": "system", "content": self.system_prompt()}] + history + [{"role": "user", "content": message}]
+        done = False
+        while not done:
+            response = self.openai.chat.completions.create(
+                model="gemini-2.5-flash-preview-05-20",
+                messages=messages,
+                tools=tools
+            )
+            if response.choices[0].finish_reason == "tool_calls":
+                message = response.choices[0].message
+                tool_calls = message.tool_calls
+                results = self.handle_tool_call(tool_calls)
+                messages.append(message)
+                messages.extend(results)
+            else:
+                done = True
+        return response.choices[0].message.content
+
+# Launch Gradio interface
+if __name__ == "__main__":
+    me = Me()
+    gr.ChatInterface(me.chat, type="messages").launch(share=True)