| | |
|---|
| | | filelist = [".scp", ".txt", ".json", ".jsonl", ".text"] |
|---|
| | | |
|---|
| | | chars = string.ascii_letters + string.digits |
|---|
| | | if isinstance(data_in, str) and data_in.startswith("http://"): # url |
|---|
| | | if isinstance(data_in, str): |
|---|
| | | if data_in.startswith("http://") or data_in.startswith("https://"): # url |
|---|
| | | data_in = download_from_url(data_in) |
|---|
| | | |
|---|
| | | if isinstance(data_in, str) and os.path.exists( |
|---|
| | |
|---|
| | | with torch.no_grad(): |
|---|
| | | res = model.inference(**batch, **kwargs) |
|---|
| | | if isinstance(res, (list, tuple)): |
|---|
| | | results = res[0] |
|---|
| | | results = res[0] if len(res) > 0 else [{"text": ""}] |
|---|
| | | meta_data = res[1] if len(res) > 1 else {} |
|---|
| | | time2 = time.perf_counter() |
|---|
| | | |
|---|
