Fixes

agent.py

@@ -112,6 +112,7 @@ class BasicAgent:
             additional_authorized_imports = [
                 'numpy','subprocess', 're', 'pandas',  
                 'json', 'os', 'datetime', 'tempfile',
+                'requests', 'markdownify'
                 ],
             verbosity_level = 1,
             max_print_outputs_length=1_000_000
@@ -146,7 +147,7 @@ class GeminiAgent:
                 "GOOGLE_API_KEY not found."
             )
         self.model = LiteLLMModel(
-            model_id    = "gemini/gemini-2.5-flash",
+            model_id    = "gemini/gemini-2.5-flash-lite",
             api_key     = GOOGLE_API_KEY, 
             temperature = 0.0,
             top_p       = 1.0,  
@@ -159,10 +160,11 @@ class GeminiAgent:
             model          = self.model,
             tools          = self.tools,
             add_base_tools = True,        # probably redundant, but it does not hurt
-            max_steps      = 5, 
+            max_steps      = 8, 
             additional_authorized_imports = [
                 'numpy','subprocess', 're', 'pandas',  
                 'json', 'os', 'datetime', 'tempfile',
+                'requests', 'markdownify',
                 ],
             verbosity_level = 1,
             max_print_outputs_length=1_000_000

requirements.txt

@@ -9,6 +9,7 @@ gradio
 
 # Networking & retrieval
 requests==2.32.5
+markdownify
 ddgs==9.10.0
 
 # Data handling

tools/audio_tools.py

@@ -29,10 +29,6 @@ def youtube_to_text(url: str) -> str:
             return text
     except Exception:
         pass # Silent fallback to Whisper
-    finally:
-        # Cleanup temp file to save space
-        if audio_path and os.path.exists(audio_path):
-            os.remove(audio_path)
 
     # ---- Step 2: Fallback to Whisper transcription ----
     try:
@@ -52,6 +48,10 @@ def youtube_to_text(url: str) -> str:
 
     except Exception as e:
         return f"Error transcribing YouTube video: {str(e)}"
+    finally:
+        # Cleanup temp file to save space
+        if audio_path and os.path.exists(audio_path):
+            os.remove(audio_path)
 
 @tool
 def transcribe_audio(file_path: str) -> str: