adding examples, minor fixes

examples/ollama_dvm/main.py

@@ -0,0 +1,54 @@
+import json
+from pathlib import Path
+import dotenv
+
+from nostr_dvm.tasks.textgeneration_llmlite import TextGenerationLLMLite
+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
+
+
+def main():
+    identifier = "llama2"
+    name = "Ollama"
+
+    dvm_config = build_default_config(identifier)
+    admin_config = AdminConfig()
+    admin_config.REBROADCAST_NIP89 = False
+    admin_config.UPDATE_PROFILE = False
+    admin_config.LUD16 = dvm_config.LN_ADDRESS
+
+    options = {'default_model': "ollama/llama2", 'server': "http://localhost:11434"}
+
+    nip89info = {
+        "name": name,
+        "image": "https://image.nostr.build/c33ca6fc4cc038ca4adb46fdfdfda34951656f87ee364ef59095bae1495ce669.jpg",
+        "about": "I use a LLM connected via OLLAMA",
+        "encryptionSupported": True,
+        "cashuAccepted": True,
+        "nip90Params": {
+
+        }
+    }
+
+    nip89config = NIP89Config()
+    nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"])
+    nip89config.CONTENT = json.dumps(nip89info)
+
+    ollama = TextGenerationLLMLite(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config,
+                                   options=options)
+    ollama.run()
+
+
+if __name__ == '__main__':
+    env_path = Path('.env')
+    if not env_path.is_file():
+        with open('.env', 'w') as f:
+            print("Writing new .env file")
+            f.write('')
+    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} ')
+    main()