Final 1.11

app.py

@@ -34,27 +34,6 @@ def detect_language(file_path):
         return None
 
 
-def request_gradio(file_path, language):
-    try:
-        result = transcriber.predict(
-            audio_filepath=file(file_path),
-            task="transcribe",
-            batch_size=24,
-            chunk_length_s=30,
-            sampling_rate=16000,
-            language=language,
-            num_speakers=2,
-            min_speakers=2,
-            max_speakers=2,
-            assisted=False,
-            api_name="/transcribe",
-        )
-        return result
-    except Exception as e:
-        print(f"Transcription failed: {e}")
-        return f"Transcription failed: {e}"
-
-
 def detect_emotion(audio):
     try:
         res = emotion_detector(audio)
@@ -78,15 +57,13 @@ def detect_toxic_local(text_whisper):
         return None
 
 
-def assessment(file_path, language):
-    language = detect_language(file_path) or "unknown"
-    result_text = request_gradio(file_path, language) or ""
+def assessment(file_path, result_text):
     result_emotion = detect_emotion(file_path) or "unknown"
     result_toxic = detect_toxic_local(result_text) or False
-    return json.dumps({"transcription": result_text, "emotion": result_emotion, "toxic": result_toxic,})
+    return json.dumps({"emotion": result_emotion, "toxic": result_toxic})
 
-demo = gr.Blocks()
 
+demo = gr.Blocks()
 with demo:
     with gr.Tabs():
         with gr.TabItem('Language Detection'):