removed track

app.py

@@ -96,7 +96,7 @@ Answer:
 def generate_agent_answer(context: str, question: str) -> str:
     prompt = get_prompt_plain(context, question)
     response = genai_client.models.generate_content(
-        model="gemini-2.0-flash",
+        model="gemini-2.0-flash-lite",
         contents=prompt,
         config=types.GenerateContentConfig(
             temperature=0.01,
@@ -119,92 +119,27 @@ import uuid
 import os
 
 
-HF_TOKEN = os.getenv("HF_TOKEN")  # Set this in Space settings
-DATASET_NAME = "Jasur05/inha-chat-logs" 
-
-def log_to_dataset(question, answer, response_time_ms=None):
-    """Log interaction to HuggingFace Dataset (permanent storage)"""
-    try:
-        
-        new_data = {
-            "timestamp": [datetime.now().isoformat()],
-            "session_id": [str(uuid.uuid4())[:8]],
-            "question": [question],
-            "answer": [answer],
-            "response_time_ms": [response_time_ms or 0]
-        }
-        
-      
-        try:
-            existing_dataset = load_dataset(DATASET_NAME, split="train", token=HF_TOKEN)
-            existing_df = existing_dataset.to_pandas()
-            
-       
-            new_df = pd.DataFrame(new_data)
-            combined_df = pd.concat([existing_df, new_df], ignore_index=True)
-            
-        except Exception:
-     
-            combined_df = pd.DataFrame(new_data)
-        
-
-        dataset = Dataset.from_pandas(combined_df)
-        dataset.push_to_hub(
-            DATASET_NAME,
-            token=HF_TOKEN,
-            private=True  # Keep your logs private
-        )
-        
-        print(f"✅ Logged to dataset: {question[:50]}...")
-        
-    except Exception as e:
-        print(f"❌ Dataset logging failed: {e}")
-        # Fallback to local file
-        log_to_local_file(question, answer, response_time_ms)
-
-def log_to_local_file(question, answer, response_time_ms):
-  
-    try:
-        data = {
-            "timestamp": datetime.now().isoformat(),
-            "question": question,
-            "answer": answer,
-            "response_time_ms": response_time_ms
-        }
-        
-
-        df = pd.DataFrame([data])
-        file_exists = os.path.exists("backup_logs.csv")
-        df.to_csv("backup_logs.csv", mode='a', header=not file_exists, index=False)
-        
-    except Exception as e:
-        print(f"❌ Backup logging failed: {e}")
-
+# gradio interface code below
 def answer_question(question):
-   
-    start_time = datetime.now()
-    
+    """
+    Main function that processes the question and returns the answer
+    """
     if not question.strip():
-        answer = "Please enter a question about Inha University."
-        response_time_ms = 0
-    else:
-        try:
-            answer = rag_answer(question, collection)
-            response_time_ms = (datetime.now() - start_time).total_seconds() * 1000
-        except Exception as e:
-            answer = f"Sorry, I encountered an error: {str(e)}"
-            response_time_ms = (datetime.now() - start_time).total_seconds() * 1000
-
-    log_to_dataset(question, answer, response_time_ms)
+        return "Please enter a question about Inha University."
     
-    return answer
+    try:
+        answer = rag_answer(question, collection)
+        return answer
+    except Exception as e:
+        return f"Sorry, I encountered an error: {str(e)}"
 
+# ─── 6. Gradio Frontend ─────────────────────────────────────────────────────
 
 demo = gr.Interface(
     fn=answer_question,
     inputs=gr.Textbox(
         label="Ask me anything about Inha University SGCS…",
-        placeholder="e.g. How many Major Required credits should I take for graduation?",
+        placeholder="e.g. How many Major Required credits should I take for graduation? ",
         lines=2
     ),
     outputs=gr.Markdown(
@@ -212,7 +147,7 @@ demo = gr.Interface(
         show_copy_button=True
     ),
     title="📚 Inha University SGCS Info Assistant",
-    description="Get answers to your questions about Inha University SGCS.",
+    description="Get answers to your questions about Inha University SGCS .",
     theme=gr.themes.Soft(),
     examples=[
         ["What classes should I normally take as 3nd semester ISE student?"],
@@ -221,8 +156,7 @@ demo = gr.Interface(
     ]
 )
 
-if __name__ == "__main__":
-    demo.launch()
+
 
 if __name__ == "__main__":
     demo.launch(