test-1: loading ollama llm through langchain

.gitignore

@@ -0,0 +1,3 @@
+.env
+__pycache__/
+*.pyc

main.py

@@ -1,10 +1,30 @@
+import os
+from dotenv import load_dotenv
 import ollama
+from langchain_community.llms import Ollama
+from langchain_ollama import OllamaLLM
 
+load_dotenv()
+"""
 res = ollama.generate(
     model="hf.co/bartowski/Llama-3.2-3B-Instruct-uncensored-GGUF:Q5_K_S",
     # model="qwen2.5:3b",
-    prompt="i am a human",
-    system="Provide answers with funny and creative answers",
+    prompt="what was our previous conversation?",
+    system="only funny responses",
+    # options={'num_predict': 50}
 )
 
-print(res['response'])
+print("\n",res['response'],"\n")
+"""
+
+model = OllamaLLM(
+    model=os.getenv('OLLAMA_MODEL_1', ''),
+    # metadata={"num_predict": 50},
+    num_predict=50,
+    # num_ctx=50 
+)
+
+prompt_input = "Why did the tomato cry?"
+response = model.invoke(prompt_input)
+
+print("\n",response,"\n")