Update app to gr.Interface for stable REST - Mon Jan 19 23:43:16 2026

app.py

@@ -1,4 +1,3 @@
-# FORCE BUILD TRIGGER: Mon Jan 19 23:37:29 2026
 import gradio as gr
 import base64
 import torch
@@ -37,18 +36,27 @@ def load_models():
             "cuda" if torch.cuda.is_available() else "cpu"
         )
 
-def process_request(request_json):
+def process_request(request_json, progress=gr.Progress()):
     """Main API endpoint - receives JSON string, returns JSON string"""
+    print(f"📥 Received request: '{request_json[:100]}...' (len: {len(request_json or '')})")
+    
+    if not request_json or not request_json.strip():
+        print("⚠️ EMPTY REQUEST RECEIVED")
+        return json.dumps({"error": "Empty request"})
+
     try:
         request = json.loads(request_json)
         action = request.get("action")
+        print(f"⚙️ Action: {action}")
         
         if action == "health":
             return json.dumps({"status": "ok", "gpu": torch.cuda.is_available()})
         
+        progress(0.1, desc="Loading models...")
         load_models()
         
         if action == "stt":
+            progress(0.3, desc="Processing Audio...")
             audio_b64 = request.get("file")
             lang = request.get("lang")
             audio_bytes = base64.b64decode(audio_b64)
@@ -64,6 +72,7 @@ def process_request(request_json):
                 os.unlink(temp_path)
         
         elif action == "translate":
+            progress(0.5, desc="Translating...")
             text = request.get("text")
             target_lang = request.get("target_lang")
             tgt_code = f"{target_lang}_Latn"
@@ -74,6 +83,7 @@ def process_request(request_json):
             return json.dumps({"translated": result.strip()})
         
         elif action == "tts":
+            progress(0.7, desc="Generating Speech...")
             text = request.get("text")
             lang = request.get("lang")
             speaker_wav_b64 = request.get("speaker_wav")
@@ -107,38 +117,14 @@ def process_request(request_json):
         print(f"❌ Error: {traceback.format_exc()}")
         return json.dumps({"error": str(e)})
 
-# Create Gradio interface with API endpoint
-with gr.Blocks(title="🚀 Unified AI Engine") as demo:
-    gr.Markdown("# 🚀 Unified AI Engine\nBackend API for STT, Translation, and TTS")
-    
-    with gr.Row():
-        input_box = gr.Textbox(
-            label="JSON Request",
-            placeholder='{"action": "health"}',
-            lines=5
-        )
-        output_box = gr.Textbox(
-            label="JSON Response",
-            lines=5
-        )
-    
-    submit_btn = gr.Button("Process Request", variant="primary")
-    
-    submit_btn.click(
-        fn=process_request,
-        inputs=input_box,
-        outputs=output_box,
-        api_name="predict"  # This exposes the endpoint at /api/predict
-    )
-    
-    gr.Examples(
-        examples=[
-            ['{"action": "health"}'],
-            ['{"action": "stt", "file": "base64_audio", "lang": "en"}'],
-            ['{"action": "translate", "text": "Hello", "target_lang": "fr"}'],
-        ],
-        inputs=input_box
-    )
+# Use Simple Interface for better API stability in 4.x
+demo = gr.Interface(
+    fn=process_request,
+    inputs=gr.Textbox(label="JSON Request", lines=5),
+    outputs=gr.Textbox(label="JSON Response"),
+    title="🚀 Unified AI Engine",
+    description="Backend API for STT, Translation, and TTS"
+)
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860)