Update app.py

app.py

@@ -4,15 +4,12 @@ import torchaudio
 import gradio as gr
 from transformers import AutoProcessor, SeamlessM4TModel
 
-# Constants
 MODEL_NAME = "facebook/hf-seamless-m4t-medium"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Load model and processor
 processor = AutoProcessor.from_pretrained(MODEL_NAME)
 model = SeamlessM4TModel.from_pretrained(MODEL_NAME).to(device).eval()
 
-# Main translation function
 def translate(text_input, audio_input, source_lang, target_lang, auto_detect):
     src = None if auto_detect else source_lang
     translated_text = None
@@ -38,8 +35,8 @@ def translate(text_input, audio_input, source_lang, target_lang, auto_detect):
         return translated_text or "", translated_audio
     return "No input provided.", None
 
-# ✅ This exposes the endpoint correctly
-gr.Interface(
+# ✅ API name must be set here
+demo = gr.Interface(
     fn=translate,
     inputs=[
         gr.Textbox(label="Input Text (optional)"),
@@ -52,9 +49,9 @@ gr.Interface(
         gr.Textbox(label="Translated Text"),
         gr.Audio(label="Translated Speech")
     ],
-    title="iVoice Translate (Text + Speech)"
-).launch(
-    server_name="0.0.0.0",
-    server_port=int(os.environ.get("PORT", 7860)),
-    show_api=True
+    title="iVoice Translate (Text + Speech)",
+    # ✅ This exposes it at /predict
+    api_name="/predict"
 )
+
+demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)), show_api=True)