better handling of dvms venvs (again with live feedback)

nostr_dvm/dvm.py

@@ -624,7 +624,24 @@ class DVM:
 
             return reaction_event.as_json()
 
-        async def run_subprocess(python_bin, dvm_config, request_form):
+        async def _read_stream(stream, cb):
+            while True:
+                line = await stream.readline()
+                if line:
+                    cb(line)
+                else:
+                    break
+
+        async def _stream_subprocess(cmd, stdout_cb, stderr_cb):
+            process = await asyncio.create_subprocess_exec(*cmd,
+                                                           stdout=asyncio.subprocess.PIPE,
+                                                           stderr=asyncio.subprocess.PIPE)
+
+
+
+
+        async def run_subprocess(python_bin, dvm_config, request_form, stdout_cb, stderr_cb):
+            print("Running subprocess, please wait..")
             process = await asyncio.create_subprocess_exec(
                 python_bin, dvm_config.SCRIPT,
                 '--request', json.dumps(request_form),
@@ -634,16 +651,23 @@ class DVM:
                 stderr=asyncio.subprocess.PIPE
             )
 
-            stdout, stderr = await process.communicate()
+            await asyncio.gather(
+                _read_stream(process.stdout, stdout_cb),
+                _read_stream(process.stderr, stderr_cb)
+            )
+            return await process.wait()
 
-            retcode = process.returncode
 
-            if retcode != 0:
+            #stdout, stderr = await process.communicate()
-                print(f"Error: {stderr.decode()}")
-            else:
-                print(f"Output: {stdout.decode()}")
 
-            return retcode
+            #retcode = process.returncode
+
+            #if retcode != 0:
+            #    print(f"Error: {stderr.decode()}")
+            #else:
+            #    print(f"Output: {stdout.decode()}")
+
+            #return retcode
 
         async def do_work(job_event, amount):
             if ((
@@ -669,7 +693,9 @@ class DVM:
                                 #                           '--request', json.dumps(request_form),
                                 #                           '--identifier', dvm_config.IDENTIFIER,
                                 #                           '--output', 'output.txt'])
-                                await run_subprocess(python_bin, dvm_config, request_form)
+                                await run_subprocess(python_bin, dvm_config, request_form,
+                                                     lambda x: print("%s" % x.decode("utf-8").replace("\n", "")),
+                                                     lambda x: print("STDERR: %s" % x.decode("utf-8")))
                                 print("Finished processing, loading data..")
 
                                 with open(os.path.abspath('output.txt'), encoding="utf-8") as f:

nostr_dvm/tasks/texttospeech.py

@@ -106,9 +106,11 @@ class TextToSpeech(DVMTaskInterface):
         from TTS.api import TTS
         options = self.set_options(request_form)
         device = "cuda" if torch.cuda.is_available() else "cpu"
-        # else "mps" if torch.backends.mps.is_available() \
+            #else "mps" if torch.backends.mps.is_available()
+        print(device)
+
+        print(TTS().list_models().list_tts_models())
 
-        print(TTS().list_models())
         try:
             # model = "tts_models/deu/fairseq/vits"
             # model = "tts_models/multilingual/multi-dataset/your_tts"

tests/tts.py

@@ -0,0 +1,48 @@
+import json
+from pathlib import Path
+import dotenv
+from nostr_dvm.tasks import texttospeech
+from nostr_dvm.tasks.texttospeech import TextToSpeech
+from nostr_dvm.utils.admin_utils import AdminConfig
+from nostr_dvm.utils.dvmconfig import build_default_config
+from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
+
+if __name__ == '__main__':
+    env_path = Path('.env')
+    if env_path.is_file():
+        print(f'loading environment from {env_path.resolve()}')
+        dotenv.load_dotenv(env_path, verbose=True, override=True)
+    else:
+        raise FileNotFoundError(f'.env file not found at {env_path} ')
+    name = "TTS Guy Swann"
+    identifier = "ttsguy"
+    admin_config_tts = AdminConfig()
+    admin_config_tts.UPDATE_PROFILE = True
+    admin_config_tts.REBROADCAST_NIP65_RELAY_LIST = True
+    dvm_config = build_default_config(identifier)
+    dvm_config.USE_OWN_VENV = True
+    dvm_config.FIX_COST = 0
+    dvm_config.PER_UNIT_COST = 0
+    admin_config_tts.LUD16 = dvm_config.LN_ADDRESS
+    # use an alternative local wav file you want to use for cloning
+    options = {'input_file': ""}
+    nip89info = {
+        "name": name,
+        "image": "https://image.nostr.build/c33ca6fc4cc038ca4adb46fdfdfda34951656f87ee364ef59095bae1495ce669.jpg",
+        "about": "I Generate Speech from Text",
+        "encryptionSupported": True,
+        "cashuAccepted": True,
+        "nip90Params": {
+            "language": {
+                "required": False,
+                "values": []
+            }
+        }
+    }
+
+    nip89config = NIP89Config()
+    nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"])
+    nip89config.CONTENT = json.dumps(nip89info)
+    tts = TextToSpeech(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config_tts,
+                       options=options)
+    tts.run()