Update app.py

app.py

@@ -8,6 +8,10 @@ import os
 import glob
 import matplotlib.pyplot as plt
 import numpy as np
+from datetime import datetime
+import pytz 
+ 
+
 
 YOUR_OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY')
 client = OpenAI(
@@ -235,7 +239,9 @@ def run_detector(image, model):
             }
         ],
     )
-    print("Image Scanner", f"Image: {os.path.basename(image)}", resp.choices[0].message.content.strip(), model)
+    IST = pytz.timezone('Asia/Kolkata')
+    timestamp = datetime.now(IST).strftime('%Y-%m-%d %I:%M:%S %p IST')
+    print(f"[{datetime.now(IST).strftime('%Y-%m-%d %I:%M:%S %p IST')}] Image Scanner | Model: {model} | This is image: {os.path.basename(image)} | This is response: '{resp.choices[0].message.content.strip()[:300]}...' (len: {len(resp.choices[0].message.content.strip())})")
     return resp.choices[0].message.content.strip()
 
 def test_injection(prompt, model):
@@ -245,7 +251,9 @@ def test_injection(prompt, model):
             messages=[{"role": "user", "content": prompt}],
         )
         reply = response.choices[0].message.content
-        print("Text Prompt Tester", prompt, reply, model)
+        IST = pytz.timezone('Asia/Kolkata')
+ 
+        print(f"[{datetime.now(IST).strftime('%Y-%m-%d %I:%M:%S %p IST')}] Text Prompt Tester | Model: {model} | This is prompt: '{prompt[:300]}...' | This is response: '{reply[:300]}...' (len_prompt: {len(prompt)}, len_reply: {len(reply)})")
     except Exception as e:
         reply = f"Error with {model}: {e}"
     return f"=== {model} ===\n{reply}"
@@ -549,7 +557,9 @@ with gr.Blocks(theme=theme, css=light_blue_glass_css, title="Phoenikz Unified Ap
         raw_analysis, visual_analysis = "", "No response to analyze."
         if response_output and not response_output.startswith("Error:"):
             raw_analysis, visual_analysis = assess_text_harmfulness(response_output, models)
-            print("Chat & Analysis", user_txt, response_output or "No response", model)
+            IST = pytz.timezone('Asia/Kolkata')
+ 
+            print(f"[{datetime.now(IST).strftime('%Y-%m-%d %I:%M:%S %p IST')}] Chat & Analysis | Model: {model} | This is user input: '{user_txt[:300]}...' | This is response: '{(response_output or 'No response')[:300]}...' (len_user: {len(user_txt)}, len_resp: {len(response_output or 'No response')})")
 
         return (
             gr.update(value=new_history),