Update app.py
Browse files
app.py
CHANGED
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@@ -212,12 +212,10 @@ def init_molecule():
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}
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# 添加原子
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def add_atom(molecule, atom_type
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molecule["atoms"].append({
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"id": len(molecule["atoms"]),
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"type": atom_type
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"x": x,
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"y": y
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})
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return molecule
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@@ -303,129 +301,6 @@ def visualize_molecule(molecule_json):
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logger.error(f"可视化分子失败: {str(e)}")
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return None
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# 分子构建界面
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def build_molecule_interface():
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# 初始化分子
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molecule = init_molecule()
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with gr.Blocks() as interface:
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gr.Markdown("### 构建分子")
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# 原子选择
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with gr.Row():
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atom_select = gr.Dropdown(
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label="选择原子类型",
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choices=ATOM_TYPES,
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value="C"
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)
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bond_select = gr.Dropdown(
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label="选择键类型",
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choices=BOND_TYPES,
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value="单键"
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)
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# 画布
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canvas = gr.Image(
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label="分子结构",
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interactive=True,
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tool="select",
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height=400
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)
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# 状态显示
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status = gr.Textbox(label="状态", interactive=False)
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-
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# 操作按钮
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with gr.Row():
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add_atom_btn = gr.Button("添加原子")
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add_bond_btn = gr.Button("添加键")
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clear_btn = gr.Button("清除")
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generate_btn = gr.Button("生成分子")
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# 分子预览
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molecule_img = gr.Image(label="分子预览", interactive=False)
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molecule_smiles = gr.Textbox(label="生成的SMILES", interactive=False)
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# 存储分子结构的隐藏状态
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molecule_state = gr.State(molecule)
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# 原子位置存储
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last_click_pos = gr.State((0, 0))
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# 事件处理
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canvas.select(
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fn=lambda evt: {"x": evt.index[0], "y": evt.index[1]},
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outputs=last_click_pos
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)
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add_atom_btn.click(
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fn=lambda atom, pos, mol: add_atom(mol, atom, pos[0], pos[1]),
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inputs=[atom_select, last_click_pos, molecule_state],
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outputs=molecule_state
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).then(
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fn=lambda mol: f"添加原子成功! 当前原子数: {len(mol['atoms'])}, 键数: {len(mol['bonds'])}",
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inputs=molecule_state,
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outputs=status
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)
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# 添加键需要选择两个原子
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atom1_state = gr.State(-1)
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atom2_state = gr.State(-1)
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canvas.select(
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fn=lambda evt, mol: {"atom_id": find_nearest_atom(mol, evt.index[0], evt.index[1])},
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inputs=molecule_state,
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outputs=atom1_state
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)
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canvas.select(
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fn=lambda evt, mol: {"atom_id": find_nearest_atom(mol, evt.index[0], evt.index[1])},
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inputs=molecule_state,
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outputs=atom2_state
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)
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add_bond_btn.click(
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fn=lambda bond, atom1, atom2, mol: add_bond(mol, atom1, atom2, bond),
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inputs=[bond_select, atom1_state, atom2_state, molecule_state],
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outputs=molecule_state
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).then(
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fn=lambda mol: f"添加键成功! 当前原子数: {len(mol['atoms'])}, 键数: {len(mol['bonds'])}",
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inputs=molecule_state,
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outputs=status
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)
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clear_btn.click(
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fn=init_molecule,
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outputs=molecule_state
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).then(
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fn=lambda: "已清除所有原子和键",
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outputs=status
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)
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generate_btn.click(
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fn=generate_smiles,
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inputs=molecule_state,
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outputs=molecule_smiles
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).then(
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fn=visualize_molecule,
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inputs=molecule_state,
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outputs=molecule_img
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).then(
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fn=lambda mol: f"分子生成完成! 原子数: {len(mol['atoms'])}, 键数: {len(mol['bonds'])}",
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inputs=molecule_state,
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outputs=status
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)
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return interface
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# 查找最近的原子
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def find_nearest_atom(molecule, x, y, radius=20):
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for atom in molecule["atoms"]:
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dist = ((atom["x"] - x)**2 + (atom["y"] - y)**2)**0.5
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if dist <= radius:
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return atom["id"]
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return -1
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# 使用TabbedInterface组织两种输入方式
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with gr.Blocks(title="CrystalGAT") as demo:
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gr.Markdown("# CrystalGAT")
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@@ -451,17 +326,67 @@ with gr.Blocks(title="CrystalGAT") as demo:
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with gr.Tab("构建分子"):
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gr.Markdown("### 构建分子结构")
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gr.Markdown("1. 选择原子类型
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gr.Markdown("2. 点击'添加
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gr.Markdown("3. 点击'
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# 分子
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# 预测按钮
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submit_btn2 = gr.Button("使用此分子进行预测", variant="primary")
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build_smiles = gr.Textbox(visible=False) # 隐藏的SMILES存储
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# 输出区域 (两种输入方式共享)
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gr.Markdown("## 预测结果")
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@@ -475,6 +400,75 @@ with gr.Blocks(title="CrystalGAT") as demo:
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brittle_text = gr.Text(label="Brittle")
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brittle_img = gr.Image(type="pil", label="Brittle attention visualization")
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# 设置交互
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# SMILES输入路径
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submit_btn1.click(
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# 分子构建预测路径
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submit_btn2.click(
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fn=lambda smiles: predict_all(smiles) if smiles else ("请输入有效的SMILES", None, "", None, "", None),
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inputs=
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outputs=[elastic_text, elastic_img, plastic_text, plastic_img, brittle_text, brittle_img]
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)
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}
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# 添加原子
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def add_atom(molecule, atom_type):
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molecule["atoms"].append({
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"id": len(molecule["atoms"]),
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"type": atom_type
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})
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return molecule
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logger.error(f"可视化分子失败: {str(e)}")
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return None
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# 使用TabbedInterface组织两种输入方式
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with gr.Blocks(title="CrystalGAT") as demo:
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gr.Markdown("# CrystalGAT")
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with gr.Tab("构建分子"):
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gr.Markdown("### 构建分子结构")
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gr.Markdown("1. 添加原子:选择原子类型并点击'添加原子'按钮")
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gr.Markdown("2. 添加键:选择两个原子和键类型,然后点击'添加键'按钮")
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gr.Markdown("3. 完成后点击'生成分子'按钮预览并预测")
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# 初始化分子状态
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molecule_state = gr.State(init_molecule())
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with gr.Row():
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# 原子选择
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with gr.Column():
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gr.Markdown("### 添加原子")
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atom_select = gr.Dropdown(
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label="选择原子类型",
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choices=ATOM_TYPES,
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value="C"
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)
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add_atom_btn = gr.Button("添加原子")
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atoms_list = gr.Dataframe(
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label="原子列表",
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headers=["ID", "原子类型"],
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datatype=["number", "str"],
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interactive=False
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)
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# 键选择
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with gr.Column():
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gr.Markdown("### 添加键")
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atom1_select = gr.Dropdown(
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label="选择第一个原子",
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choices=[],
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interactive=True
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)
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atom2_select = gr.Dropdown(
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label="选择第二个原子",
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choices=[],
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interactive=True
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)
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bond_select = gr.Dropdown(
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label="选择键类型",
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choices=BOND_TYPES,
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value="单键"
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)
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add_bond_btn = gr.Button("添加键")
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bonds_list = gr.Dataframe(
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label="键列表",
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headers=["原子1", "原子2", "键类型"],
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datatype=["number", "number", "str"],
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interactive=False
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)
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# 操作按钮
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| 380 |
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with gr.Row():
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clear_btn = gr.Button("清除所有")
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generate_btn = gr.Button("生成分子")
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# 分子预览
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molecule_img = gr.Image(label="分子预览", interactive=False)
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molecule_smiles = gr.Textbox(label="生成的SMILES", interactive=False)
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# 预测按钮
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submit_btn2 = gr.Button("使用此分子进行预测", variant="primary")
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# 输出区域 (两种输入方式共享)
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gr.Markdown("## 预测结果")
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brittle_text = gr.Text(label="Brittle")
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brittle_img = gr.Image(type="pil", label="Brittle attention visualization")
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# 更新原子选择下拉菜单
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def update_atom_dropdowns(molecule):
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| 405 |
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atom_ids = [f"{i}: {atom['type']}" for i, atom in enumerate(molecule["atoms"])]
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return gr.Dropdown.update(choices=atom_ids), gr.Dropdown.update(choices=atom_ids)
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+
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| 408 |
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# 更新原子列表
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| 409 |
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def update_atoms_list(molecule):
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| 410 |
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atoms_data = [[i, atom["type"]] for i, atom in enumerate(molecule["atoms"])]
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| 411 |
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return atoms_data
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| 412 |
+
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| 413 |
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# 更新键列表
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| 414 |
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def update_bonds_list(molecule):
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| 415 |
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bonds_data = []
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| 416 |
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for bond in molecule["bonds"]:
|
| 417 |
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atom1_type = molecule["atoms"][bond["atom1"]]["type"]
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| 418 |
+
atom2_type = molecule["atoms"][bond["atom2"]]["type"]
|
| 419 |
+
bonds_data.append([
|
| 420 |
+
f"{bond['atom1']}: {atom1_type}",
|
| 421 |
+
f"{bond['atom2']}: {atom2_type}",
|
| 422 |
+
bond["type"]
|
| 423 |
+
])
|
| 424 |
+
return bonds_data
|
| 425 |
+
|
| 426 |
+
# 事件处理
|
| 427 |
+
add_atom_btn.click(
|
| 428 |
+
fn=lambda atom, mol: add_atom(mol, atom),
|
| 429 |
+
inputs=[atom_select, molecule_state],
|
| 430 |
+
outputs=molecule_state
|
| 431 |
+
).then(
|
| 432 |
+
fn=update_atoms_list,
|
| 433 |
+
inputs=molecule_state,
|
| 434 |
+
outputs=atoms_list
|
| 435 |
+
).then(
|
| 436 |
+
fn=update_atom_dropdowns,
|
| 437 |
+
inputs=molecule_state,
|
| 438 |
+
outputs=[atom1_select, atom2_select]
|
| 439 |
+
)
|
| 440 |
+
|
| 441 |
+
add_bond_btn.click(
|
| 442 |
+
fn=lambda atom1, atom2, bond, mol: add_bond(mol, int(atom1.split(":")[0]), int(atom2.split(":")[0]), bond),
|
| 443 |
+
inputs=[atom1_select, atom2_select, bond_select, molecule_state],
|
| 444 |
+
outputs=molecule_state
|
| 445 |
+
).then(
|
| 446 |
+
fn=update_bonds_list,
|
| 447 |
+
inputs=molecule_state,
|
| 448 |
+
outputs=bonds_list
|
| 449 |
+
)
|
| 450 |
+
|
| 451 |
+
clear_btn.click(
|
| 452 |
+
fn=init_molecule,
|
| 453 |
+
outputs=molecule_state
|
| 454 |
+
).then(
|
| 455 |
+
fn=lambda: [[], []],
|
| 456 |
+
outputs=[atoms_list, bonds_list]
|
| 457 |
+
).then(
|
| 458 |
+
fn=lambda: (gr.Dropdown.update(choices=[]), gr.Dropdown.update(choices=[])),
|
| 459 |
+
outputs=[atom1_select, atom2_select]
|
| 460 |
+
)
|
| 461 |
+
|
| 462 |
+
generate_btn.click(
|
| 463 |
+
fn=generate_smiles,
|
| 464 |
+
inputs=molecule_state,
|
| 465 |
+
outputs=molecule_smiles
|
| 466 |
+
).then(
|
| 467 |
+
fn=visualize_molecule,
|
| 468 |
+
inputs=molecule_state,
|
| 469 |
+
outputs=molecule_img
|
| 470 |
+
)
|
| 471 |
+
|
| 472 |
# 设置交互
|
| 473 |
# SMILES输入路径
|
| 474 |
submit_btn1.click(
|
|
|
|
| 480 |
# 分子构建预测路径
|
| 481 |
submit_btn2.click(
|
| 482 |
fn=lambda smiles: predict_all(smiles) if smiles else ("请输入有效的SMILES", None, "", None, "", None),
|
| 483 |
+
inputs=molecule_smiles,
|
| 484 |
outputs=[elastic_text, elastic_img, plastic_text, plastic_img, brittle_text, brittle_img]
|
| 485 |
)
|
| 486 |
|