Update app.py

app.py

@@ -11,7 +11,8 @@ from f5_tts.api import F5TTS
 # ========================================== #
 # 1. System Setup & Configuration            #
 # ========================================== #
-GROQ_API_KEY = "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"
+# SECURE FIX: Automatically look for the Hugging Face Space Secret first
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY", "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")
 voice_file = "my_voice_fixed.wav"
 
 if not os.path.exists(voice_file):
@@ -48,6 +49,10 @@ print("All Speech Systems Fully Active!")
 # ========================================== #
 def get_ai_answer(question):
     try:
+        # Quick validation check to warn you in the UI
+        if not GROQ_API_KEY or GROQ_API_KEY.startswith("gsk_21Y7DDN"):
+            return "Error: Your Groq API key is expired or invalid. Please add a valid GROQ_API_KEY to your Hugging Face Space Settings -> Secrets."
+
         chat_completion = groq_client.chat.completions.create(
             messages=[
                 {"role": "system", "content": "You are a professional voice simulation assistant. Keep answers ultra short, under 10 words."},
@@ -55,30 +60,32 @@ def get_ai_answer(question):
             ],
             model="llama-3.3-7b-versatile",
             max_tokens=40,
-            timeout=15  # FIXED: Increased timeout from 5 to 15 to prevent sudden network drop exceptions
+            timeout=15
         )
-        # CRITICAL FIX: Added [0] index to resolve list object structural extraction crashes
         return chat_completion.choices[0].message.content.strip()
     except Exception as e:
         print(f"⚠️ Groq API issue detected: {e}")
-        return "The AI engine is currently offline. Please try again later."
+        # DIAGNOSTIC FIX: Returns the actual error string so you can see exactly why it is failing
+        return f"API Connection Error: {str(e)}"
 
 # ========================================== #
 # 3. Native Voice Synthesis Processing       #
 # ========================================== #
 def clone_and_speak(text):
     try:
+        # Don't waste compute resources if text generation failed
+        if "Error:" in text or "Connection Error:" in text:
+            return None
+            
         unique_filename = f"voice_output_{uuid.uuid4().hex[:8]}.wav"
         print(f"🔊 Rendering voice cloning track for text: '{text}'")
         
-        # Invoke inference engine
         result = f5tts.infer(
             ref_file=voice_file,
             ref_text=auto_reference_text,
             gen_text=text
         )
         
-        # Robust tuple extraction safely mapping elements
         if isinstance(result, tuple):
             if len(result) == 2:
                 audio_data, sample_rate = result
@@ -89,16 +96,12 @@ def clone_and_speak(text):
         else:
             audio_data, sample_rate = result, 24000
             
-        # Convert Torch tensors safely to standard numpy array structures
         if hasattr(audio_data, "cpu"):
             audio_data = audio_data.cpu().numpy()
         elif hasattr(audio_data, "numpy"):
             audio_data = audio_data.numpy()
             
-        # Flatten structural multi-dimensional arrays safely for soundfile
         audio_data = np.squeeze(audio_data)
-        
-        # Write clean output wave file natively
         sf.write(unique_filename, audio_data, sample_rate, format='WAV')
         
         if os.path.exists(unique_filename) and os.path.getsize(unique_filename) > 0:
@@ -124,7 +127,6 @@ def chatbot_engine(text_input, audio_input):
     ai_text_response = get_ai_answer(question)
     generated_audio_track = clone_and_speak(ai_text_response)
     
-    # Return outputs AND clear the input fields simultaneously 
     return ai_text_response, generated_audio_track, gr.update(value=""), gr.update(value=None)
 
 # ========================================== #
@@ -151,7 +153,6 @@ with gr.Blocks(title="Rabbani A I voice clone") as interface:
                 interactive=False
             )
             
-    # Connect UI outputs and reset input elements instantly upon submission
     submit_btn.click(
         fn=chatbot_engine,
         inputs=[text_prompt_box, audio_prompt_box],
@@ -160,4 +161,4 @@ with gr.Blocks(title="Rabbani A I voice clone") as interface:
     
     clear_btn.add([text_prompt_box, audio_prompt_box, text_output_box, audio_output_player])
 
-interface.queue().launch(inbrowser=True)
+interface.queue().launch()