Create app.py

app.py

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+import torch
+from typing import Annotated, TypedDict, Literal
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain_core.tools import tool
+from langgraph.prebuilt import ToolNode, tools_condition
+from langgraph.graph import StateGraph, START, END
+from langgraph.graph.message import add_messages
+from langchain_core.messages import SystemMessage, trim_messages, AIMessage, HumanMessage, ToolCall
+
+from langchain_huggingface.llms import HuggingFacePipeline
+from langchain_huggingface import ChatHuggingFace
+from langchain_core.prompts import PromptTemplate, ChatPromptTemplate
+from langchain_core.runnables import chain
+from uuid import uuid4
+import re
+import matplotlib.pyplot as plt
+
+from rdkit import Chem
+from rdkit.Chem import AllChem, QED
+from rdkit.Chem import Draw
+from rdkit.Chem.Draw import MolsToGridImage
+from rdkit import rdBase
+from rdkit.Chem import rdMolAlign
+import os, re
+from rdkit import RDConfig
+import pubchempy as pcp
+import gradio as gr
+from PIL import Image
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+hf = HuggingFacePipeline.from_model_id(
+    model_id= "microsoft/Phi-4-mini-instruct",
+    task="text-generation",
+    pipeline_kwargs = {"max_new_tokens": 500, "temperature": 0.4})
+
+chat_model = ChatHuggingFace(llm=hf)
+