Update app.py

app.py

@@ -8,9 +8,9 @@ import scipy.io.wavfile as wav
 from groq import Groq
 from f5_tts.api import F5TTS
 
-# ==========================================
-# 1. System Setup & Configuration
-# ==========================================
+# ========================================== #
+# 1. System Setup & Configuration            #
+# ========================================== #
 GROQ_API_KEY = "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"
 voice_file = "my_voice_fixed.wav"
 
@@ -43,9 +43,9 @@ except Exception as e:
 
 print("All Speech Systems Fully Active!")
 
-# ==========================================
-# 2. Dynamic Text Response Generation
-# ==========================================
+# ========================================== #
+# 2. Dynamic Text Response Generation        #
+# ========================================== #
 def get_ai_answer(question):
     try:
         chat_completion = groq_client.chat.completions.create(
@@ -59,20 +59,12 @@ def get_ai_answer(question):
         )
         return chat_completion.choices[0].message.content.strip()
     except Exception as e:
-        print(f"⚠️ Groq API issue detected ({e}). Processing local fallback...")
-        q_clean = question.lower()
-        if "salesforce" in q_clean or "crm" in q_clean:
-            return "Salesforce is a cloud-based CRM platform used to manage customer data."
-        elif "java" in q_clean:
-            return "Java is a popular object-oriented programming language used worldwide."
-        elif "python" in q_clean:
-            return "Python is an interpreted programming language famous for clean syntax."
-        else:
-            return f"Answering your question about {question[:15]} with your voice."
+        print(f"⚠️ Groq API issue detected ({e}). Processing safe fallback...")
+        return "The AI engine is currently offline. Please try again later."
 
-# ==========================================
-# 3. Native Voice Synthesis Processing
-# ==========================================
+# ========================================== #
+# 3. Native Voice Synthesis Processing       #
+# ========================================== #
 def clone_and_speak(text):
     try:
         unique_filename = f"voice_output_{uuid.uuid4().hex[:8]}.wav"
@@ -95,7 +87,7 @@ def clone_and_speak(text):
                 audio_data, sample_rate = result[0], 24000
         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()
@@ -116,9 +108,9 @@ def clone_and_speak(text):
         print(f"❌ Core TTS System Exception triggered: {e}")
         return None
 
-# ==========================================
-# 4. Request Router Pipeline
-# ==========================================
+# ========================================== #
+# 4. Request Router Pipeline                 #
+# ========================================== #
 def chatbot_engine(text_input, audio_input):
     if audio_input is not None:
         user_transcription = whisper_model.transcribe(audio_input, fp16=False)
@@ -131,11 +123,12 @@ def chatbot_engine(text_input, audio_input):
     ai_text_response = get_ai_answer(question)
     generated_audio_track = clone_and_speak(ai_text_response)
     
-    return ai_text_response, generated_audio_track
+    # Return outputs AND clear the input fields simultaneously 
+    return ai_text_response, generated_audio_track, gr.update(value=""), gr.update(value=None)
 
-# ==========================================
-# 5. Full-Output Single-Page UI Canvas
-# ==========================================
+# ========================================== #
+# 5. Full-Output Single-Page UI Canvas       #
+# ========================================== #
 with gr.Blocks(title="Rabbani A I voice clone") as interface:
     gr.Markdown("# 🎙️ Rabbani A I voice clone")
     gr.Markdown("Type or speak your question below. The system processes the response dynamically and outputs both text and voice simulation results simultaneously.")
@@ -152,15 +145,16 @@ with gr.Blocks(title="Rabbani A I voice clone") as interface:
             gr.Markdown("### 📊 Cloned Output Responses")
             text_output_box = gr.Textbox(label="AI Answer Text Output", interactive=False)
             audio_output_player = gr.Audio(
-                label="Rendered Cloned Response Audio Player",
-                type="filepath",
+                label="Rendered Cloned Response Audio Player", 
+                type="filepath", 
                 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],
-        outputs=[text_output_box, audio_output_player]
+        outputs=[text_output_box, audio_output_player, text_prompt_box, audio_prompt_box]
     )
     
     clear_btn.add([text_prompt_box, audio_prompt_box, text_output_box, audio_output_player])