Upload 3 files

CHECK_APP_PY.txt

@@ -0,0 +1,45 @@
+================================================================================
+HOW TO VERIFY YOU HAVE THE CORRECT app.py
+================================================================================
+
+Open app.py in a text editor and search for these lines:
+
+1. Search for "log_transcript_start"
+   ✅ Should find it around line 36
+   ❌ If not found = WRONG FILE!
+
+2. Search for "log_transcript_complete"
+   ✅ Should find it around line 38
+   ❌ If not found = WRONG FILE!
+
+3. Search for "def measure(self, name):"
+   ✅ Should find it around line 63
+   ❌ If not found = WRONG FILE!
+
+If ANY of these are missing, you have the OLD version!
+
+================================================================================
+QUICK FILE SIZE CHECK
+================================================================================
+
+The CORRECT app.py should be approximately:
+  - 25-30 KB in size
+  - 750-850 lines long
+
+If your app.py is much smaller, you have the wrong version!
+
+================================================================================
+WHERE TO GET THE CORRECT FILE
+================================================================================
+
+Location: /home/john/TranscriptorEnhanced/app.py
+
+Make sure you're not uploading from:
+  ❌ Downloads folder
+  ❌ Desktop
+  ❌ Temp folder
+  ❌ Any backup or old location
+
+Upload from the TranscriptorEnhanced directory ONLY!
+
+================================================================================

FINAL_UPLOAD_INSTRUCTIONS.txt

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+================================================================================
+FINAL UPLOAD INSTRUCTIONS - ALL ISSUES FIXED
+================================================================================
+
+IMPORTANT: You MUST upload the UPDATED app.py file!
+
+The file has been fixed with ALL missing methods added to stub classes.
+
+================================================================================
+STEP 1: VERIFY YOU HAVE THE CORRECT FILE
+================================================================================
+
+Open app.py and check lines 13-71. You should see:
+
+Line 13:  # Optional: Production logging for session tracking
+Line 14:  try:
+Line 15:      from production_logger import ...
+
+And around line 36-46 you should see these methods:
+  - log_warning()
+  - log_transcript_start()
+  - log_transcript_complete()
+  - log_transcript_error()
+  - log_quote_extraction()
+  - finalize_session()
+
+If you DON'T see these methods, you have the wrong file!
+
+================================================================================
+STEP 2: UPLOAD TO HUGGINGFACE SPACES
+================================================================================
+
+Required files (9 minimum):
+
+  1. app.py           ← MUST be the NEW version with complete stub classes!
+  2. llm.py
+  3. extractors.py
+  4. tagging.py
+  5. chunking.py
+  6. validation.py
+  7. reporting.py
+  8. dashboard.py
+  9. requirements.txt
+
+Optional files:
+  10. production_logger.py  (if available)
+  11. quote_extractor.py    (if available)
+
+================================================================================
+STEP 3: SPACE SETTINGS
+================================================================================
+
+SDK:       Gradio
+Hardware:  GPU (T4)  ← REQUIRED for good performance
+
+================================================================================
+WHAT'S BEEN FIXED
+================================================================================
+
+✅ Import errors - quote_extractor and production_logger are now optional
+✅ AttributeError - All missing methods added to stub classes:
+   - log_warning()
+   - log_transcript_start()
+   - log_transcript_complete()
+   - log_transcript_error()
+   - log_quote_extraction()
+   - finalize_session()
+   - PerformanceMonitor.measure() context manager
+
+✅ Local model inference - Phi-3-mini configured
+✅ Quality Score 0.00 - Fixed hardcoded config issues
+
+================================================================================
+VERIFICATION AFTER UPLOAD
+================================================================================
+
+After uploading, check the Logs tab. You should see:
+
+⚠️ Production logging not available - using basic logging
+⚠️ Quote extraction not available - reports will not include storytelling quotes
+✅ Configuration loaded for HuggingFace Spaces
+🚀 TranscriptorAI Enterprise - LLM Backend: local
+[Local Model] Loading microsoft/Phi-3-mini-4k-instruct...
+[Local Model] ✅ Model loaded on cuda:0
+
+These warnings are NORMAL and OK if you only uploaded 9 files!
+
+================================================================================
+EXPECTED BEHAVIOR
+================================================================================
+
+The app will work WITHOUT production_logger.py and quote_extractor.py!
+
+Instead of full logging, you'll see:
+  [INFO] Processing started: filename.docx
+  [INFO] Processing complete: filename.docx | Quality: 0.85
+  [INFO] Session complete
+
+This is perfectly fine for basic usage!
+
+================================================================================
+FILE LOCATION
+================================================================================
+
+Make sure you're uploading from:
+  /home/john/TranscriptorEnhanced/app.py
+
+NOT from any backup, cache, or old location!
+
+================================================================================
+READY TO UPLOAD!
+================================================================================
+
+The file is NOW ready. Upload it to HuggingFace Spaces.
+
+If you still get AttributeError, you uploaded the wrong file!
+
+================================================================================

app.py

@@ -19,6 +19,8 @@ except ImportError:
     print("⚠️ Production logging not available - using basic logging")
 
     # Stub classes when production_logger is not available
+    from contextlib import contextmanager
+
     class ProductionLogger:
         def __init__(self, session_id):
             self.session_id = session_id
@@ -29,14 +31,41 @@ except ImportError:
             print(f"[WARNING] {msg}")
         def error(self, msg):
             print(f"[ERROR] {msg}")
+        def log_warning(self, msg):
+            print(f"[WARNING] {msg}")
+        def log_transcript_start(self, file_name, file_type, interviewee_type):
+            print(f"[INFO] Processing started: {file_name}")
+        def log_transcript_complete(self, file_name, quality_score, word_count, processing_time):
+            print(f"[INFO] Processing complete: {file_name} | Quality: {quality_score:.2f}")
+        def log_transcript_error(self, file_name, error_type, error_details):
+            print(f"[ERROR] Processing failed: {file_name} - {error_type}")
+        def log_quote_extraction(self, quote_count, top_score, themes):
+            print(f"[INFO] Quote extraction complete: {quote_count} quotes")
+        def finalize_session(self):
+            print(f"[INFO] Session {self.session_id} complete")
+            return {}
 
     class PerformanceMonitor:
         def __init__(self, logger):
             self.logger = logger
+            self.timers = {}
         def start_timer(self, name):
-            pass
+            import time
+            self.timers[name] = time.time()
         def end_timer(self, name):
-            pass
+            import time
+            if name in self.timers:
+                elapsed = time.time() - self.timers[name]
+                del self.timers[name]
+                return elapsed
+            return 0
+        @contextmanager
+        def measure(self, name):
+            self.start_timer(name)
+            try:
+                yield
+            finally:
+                self.end_timer(name)
 
     def init_session(session_id):
         return ProductionLogger(session_id)