adding info messages

src/config.py

@@ -7,7 +7,7 @@ os.makedirs(LOCK_DIR, exist_ok=True)
 MAX_VIDEO_SIZE = 50 * 1024 * 1024
 LOCK_TTL_SECONDS = 20 * 60
 SESSION_TTL_SECONDS = 60 * 60
-MAX_VIDEO_DURATION = 90
+MAX_VIDEO_DURATION = 60
 
 TEMPLATES_INFO = [
     {"name": "classic", "ai_features": []},

src/ui/step1_upload.py

@@ -52,10 +52,6 @@ def get_transcriber_instance(language_key: str):
             raise Exception("Unable to setup google credentials")
         transcriber = GoogleAudioTranscriber(language=google_lang_code)
         transcriber._get_client()
-        st.warning(
-            "**Note:** This demo uses Google's faster transcriber. For the highest accuracy "
-            "with Whisper, please check out the [GitHub repository](https://github.com/francozanardi/pycaps)."
-        )
         st.session_state.transcriber_used = "Google Speech-to-Text V1"
         return transcriber
     except Exception as e:
@@ -75,6 +71,24 @@ def render_step1():
             st.rerun()
         return
     
+    st.warning(
+        """
+        **Heads-up on Transcription Quality:** 
+        
+        To keep this online demo fast, it uses a basic real-time transcription model. The accuracy might be lower than you'd expect.
+        For the highest quality and powerful AI transcription, please use the main `pycaps` tool, which leverages **Whisper**. You can check it out on [GitHub](https://github.com/francozanardi/pycaps).
+        """
+    )
+
+    st.info(
+        """
+        **Note on Performance:** 
+        
+        This is a free, shared demo running on community hardware. If you experience slowdowns or queues, it's because others are using it too!
+        For a private, full-speed experience, you can **duplicate this Space for free** on your own Hugging Face account in just one click.
+        """
+    )
+    
     if 'audio_being_analyzed' not in st.session_state:
         st.session_state['audio_being_analyzed'] = False