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app.py

@@ -147,24 +147,71 @@ If the user is engaging in discussion, try to steer them towards getting in touc
         return system_prompt
     
     def chat(self, message, history):
-        google_api_key = os.getenv('GOOGLE_API_KEY')
-        gemini = OpenAI(api_key=google_api_key, base_url="https://generativelanguage.googleapis.com/v1beta/openai/")
-        messages = [{"role": "system", "content": self.system_prompt()}] + history + [{"role": "user", "content": message}]
+        messages = (
+            [{"role": "system", "content": self.system_prompt()}]
+            + history
+            + [{"role": "user", "content": message}]
+        )
+
+        # Clients
+        gemini_client = OpenAI(
+            api_key=os.getenv("GOOGLE_API_KEY"),
+            base_url="https://generativelanguage.googleapis.com/v1beta/openai/"
+        )
+
+        openai_client = OpenAI(
+            api_key=os.getenv("OPENAI_API_KEY")
+        )
+
+        def call_llm(client, model):
+            return client.chat.completions.create(
+                model=model,
+                messages=messages,
+                tools=tools
+            )
+
         done = False
+        use_openai = False
+
         while not done:
-            # response = self.openai.chat.completions.create(model="gpt-4o-mini", messages=messages, tools=tools)
-            response = gemini.chat.completions.create(model="gemini-2.0-flash", 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)
+            try:
+                # 🔹 Try Gemini first
+                if not use_openai:
+                    response = call_llm(gemini_client, "gemini-2.0-flash")
+                else:
+                    response = call_llm(openai_client, "gpt-4o-mini")
+
+            except Exception as e:
+                error_msg = str(e).lower()
+
+                # 🔥 Detect quota exceeded
+                if "quota" in error_msg or "resource_exhausted" in error_msg:
+                    print("⚠️ Gemini quota exceeded. Falling back to OpenAI...")
+                    use_openai = True
+                    continue
+
+                # ❌ Unknown error
+                print("❌ LLM error:", e)
+                return "Sorry, something went wrong while processing your request."
+
+            # 🔁 Tool calling flow
+            choice = response.choices[0]
+
+            if choice.finish_reason == "tool_calls":
+                assistant_message = choice.message
+                tool_calls = assistant_message.tool_calls
+
+                tool_results = self.handle_tool_call(tool_calls)
+
+                messages.append(assistant_message)
+                messages.extend(tool_results)
             else:
                 done = True
+
         return response.choices[0].message.content
 
 
+
 if __name__ == "__main__":
     me = Me()
     with gr.Blocks(

me/summary.txt

@@ -1,31 +1 @@
-pawan160522@gmail.com
- 
-CERTIFICATIONS / ACHIEVEMENT
-Got Appreciation for creating terraform blueprint for aws ECS infrastructure.
-Got Appreciation for successfully rolling out reservation features for EV vehicles.
-Spring Boot Microservices Developer (Udemy & Wipro)
-Hibernate Level 1 (Wipro)
-DevOps Level 1 (Wipro)
-React.js (Great Learning)
-
-Certified on wipro internal & Udemy spring-boot microservices developer.
-Certified on wipro internal & Udemy Hibernate-L1.
-Certified on wipro internal Devops-L1.
-Certified on React.js (GreatLearning)
-
-INTERESTED IN
-Android Studio
-Cloud Computing
-AI/ML
-Google Firebase
-Higher Study (M.tech/M.S)
-Developed multiple android games on self interest which uses firebase database. (KheeloJeeto.apk, ChessGameTimer.apk, TicTacToe.apk)
-Developed an android application on self interest which is a food recipe app. (cafehouse.apk)
-EXTRA-CURRICULAR ACTIVITIES
-Learning new skills ( currently, exploring AI)
-Engage with Team Member
-
-Language - English, Hindi
-HOBBIES
-Singing, Playing Cricket
-Sketching & Designing
+Pawan Malhotra: Software engineer skilled in Spring Boot microservices, AWS ECS (Terraform), DevOps, and React. Awarded for ECS infra automation and EV reservation features. Certified in Spring, Hibernate, DevOps, React. Interests: Cloud, AI/ML, Android, Firebase. Built multiple Android apps. Languages: English, Hindi.