demetz commited on
Commit
75adfc3
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1 Parent(s): 6cf5f31

Update app.py

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Files changed (1) hide show
  1. app.py +15 -7
app.py CHANGED
@@ -3,13 +3,20 @@ from huggingface_hub import InferenceClient
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  from sentence_transformers import SentenceTransformer
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  import torch
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  # Load knowledge
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- with open("knowledge.txt", "r", encoding="utf-8") as file:
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- knowledge = file.read()
 
 
 
 
 
 
 
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- cleaned_chunks = [chunk.strip() for chunk in knowledge.strip().split("\n") if chunk.strip()]
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- model = SentenceTransformer('all-MiniLM-L6-v2')
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- chunk_embeddings = model.encode(cleaned_chunks, convert_to_tensor=True)
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  def get_top_chunks(query):
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  query_embedding = model.encode(query, convert_to_tensor=True)
@@ -93,15 +100,16 @@ with gr.Blocks(theme=theme) as chatbot:
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  character_name = gr.Textbox(label = "Character Name", placeholder="Type your name here…", info ="optional")
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- character_class = gr.Dropdown(['Barbarian', 'Bard', 'Cleric', 'Druid', 'Fighter', 'Monk', 'Paladin', 'Ranger', 'Rogue', 'Sorcerer', 'Warlock', 'Wizard'], label="Character Class", info="Choose one or more", multiselect=True)
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  character_race = gr.Dropdown([
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  "Aarakocra", "Aasimar", "Bugbear", "Centaur", "Changeling", "Dragonborn", "Dwarf", "Elf",
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  "Fairy", "Firbolg", "Genasi", "Githyanki", "Githzerai", "Gnome", "Goblin", "Goliath",
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  "Half-Elf", "Half-Orc", "Halfling", "Hobgoblin", "Human", "Kenku", "Kobold", "Leonin",
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  "Lizardfolk", "Minotaur", "Orc", "Owlin", "Satyr", "Shadar-kai", "Shifter", "Tabaxi",
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  "Tiefling", "Tortle", "Triton", "Warforged", "Yuan-ti"
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- ], multiselect=True, label="Character Race", info="You can choose multiple")
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  character_alignment = gr.Dropdown(["Lawful Good", "Neutral Good", "Chaotic Good", "Lawful Neutral", "True Neutral", "Chaotic Neutral", "Lawful Evil", "Neutral Evil", "Chaotic Evil"], label="Character Alignment", elem_classes="alignment_radio")
 
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  with gr.Column(scale=2):
 
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  from sentence_transformers import SentenceTransformer
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  import torch
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+ def read_knowlege_file(knowlege_file)
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+
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  # Load knowledge
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+ with open(knowlege_file, "r", encoding="utf-8") as file:
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+ knowledge = file.read()
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+
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+ cleaned_chunks = [chunk.strip() for chunk in knowledge.strip().split("\n") if chunk.strip()]
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+ model = SentenceTransformer('all-MiniLM-L6-v2')
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+ chunk_embeddings = model.encode(cleaned_chunks, convert_to_tensor=True)
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+ return chunk_embeddings
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+
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+ chunk_embeddings = read_knowlege_file("knowlege.txt")
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+ print(chunk_embeddings)
 
 
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  def get_top_chunks(query):
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  query_embedding = model.encode(query, convert_to_tensor=True)
 
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  character_name = gr.Textbox(label = "Character Name", placeholder="Type your name here…", info ="optional")
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+ character_class = gr.Dropdown(['Barbarian', 'Bard', 'Cleric', 'Druid', 'Fighter', 'Monk', 'Paladin', 'Ranger', 'Rogue', 'Sorcerer', 'Warlock', 'Wizard'], label="Character Class", multiselect=True)
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  character_race = gr.Dropdown([
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  "Aarakocra", "Aasimar", "Bugbear", "Centaur", "Changeling", "Dragonborn", "Dwarf", "Elf",
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  "Fairy", "Firbolg", "Genasi", "Githyanki", "Githzerai", "Gnome", "Goblin", "Goliath",
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  "Half-Elf", "Half-Orc", "Halfling", "Hobgoblin", "Human", "Kenku", "Kobold", "Leonin",
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  "Lizardfolk", "Minotaur", "Orc", "Owlin", "Satyr", "Shadar-kai", "Shifter", "Tabaxi",
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  "Tiefling", "Tortle", "Triton", "Warforged", "Yuan-ti"
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+ ], multiselect=True, label="Character Race")
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  character_alignment = gr.Dropdown(["Lawful Good", "Neutral Good", "Chaotic Good", "Lawful Neutral", "True Neutral", "Chaotic Neutral", "Lawful Evil", "Neutral Evil", "Chaotic Evil"], label="Character Alignment", elem_classes="alignment_radio")
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+ character_level=gr.Textbox(label = "Character Level")
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  with gr.Column(scale=2):