error handling

app.py

@@ -277,6 +277,8 @@ DESCR = """
 Vote to help the community find the best available text-to-speech model!
 
 _This arena is inspired and built on [TTS Arena](https://huggingface.co/spaces/TTS-AGI/TTS-Arena)._
+
+_We are actively maintaining this project. Suggestions via contact/discussion are welcome!_
 """.strip()
 # INSTR = """
 # ## Instructions
@@ -698,12 +700,12 @@ def doresample(path_to_wav):
 # 2x speedup (hopefully) #
 ##########################
 
-def synthandreturn(text):
+def synthandreturn(text, retry=0):
     text = text.strip()
     if len(text) > MAX_SAMPLE_TXT_LENGTH:
         raise gr.Error(f'You exceeded the limit of {MAX_SAMPLE_TXT_LENGTH} characters')
-    if len(text) < MIN_SAMPLE_TXT_LENGTH:
-        raise gr.Error(f'Please input a text longer than {MIN_SAMPLE_TXT_LENGTH} characters')
+    # if len(text) < MIN_SAMPLE_TXT_LENGTH:
+    #     raise gr.Error(f'Please input a text longer than {MIN_SAMPLE_TXT_LENGTH} characters')
     # if (
     #     # test toxicity if not prepared text
     #     text not in sents
@@ -779,7 +781,7 @@ def synthandreturn(text):
                 raise NotImplementedError
                 
         except:
-            raise gr.Error(f'Unable to call {model} API, please try again :)')
+            raise gr.Error(f'Unable to call {model_names[model]} API, please try again :)')
         print('Done with', model)
         if model in {"moe-vits"}:
             result = result[1]
@@ -828,6 +830,12 @@ def synthandreturn(text):
     thread1.join()
     thread2.join()
     #debug
+    if len(results) < 2 and retry < 2:
+        if mdl1k not in results:
+            gr.Warning(f"{model_names[mdl1k]} API failed, re-sampling...")
+        else:
+            gr.Warning(f"{model_names[mdl2k]} API failed, re-sampling...")
+        return synthandreturn(text, retry=retry+1)
     print(results)
     print(list(results.keys())[0])
     y, sr = librosa.load(results[list(results.keys())[0]], sr=None)
@@ -995,4 +1003,4 @@ with gr.Blocks(theme=theme, css="footer {visibility: hidden}textbox{resize:none}
                 gr.Markdown(f"If you use this data in your publication, please cite us!\n\nCopy the BibTeX citation to cite this source:\n\n```bibtext\n{CITATION_TEXT}\n```\n\nPlease remember that all generated audio clips should be assumed unsuitable for redistribution or commercial use.")
 
 # demo.launch()
-demo.queue(api_open=False, default_concurrency_limit=40).launch(show_api=False)
+demo.queue(api_open=False, default_concurrency_limit=40).launch(show_api=False, show_error=True)