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Pandora41
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Parent(s):
fc7a1eb
Deploy Finance QnA AI\
Browse files- README.md +0 -10
- app.py +31 -0
- model/adapter_config.json +28 -0
- model/adapter_model.safetensors +3 -0
- requirements.txt +7 -0
README.md
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---
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title: LLM Finance QnA Test
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emoji: 📈
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colorFrom: purple
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colorTo: purple
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sdk: gradio
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sdk_version: 5.20.1
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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license: mit
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---
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app.py
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import gradio as gr
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from peft import PeftModel
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# Load base model & tokenizer
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base_model = "vilsonrodrigues/falcon-7b-instruct-sharded"
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tokenizer = AutoTokenizer.from_pretrained(base_model)
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model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16, device_map="auto")
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# Load LoRA adapter
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adapter_path = "./model"
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model = PeftModel.from_pretrained(model, adapter_path)
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def generate_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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with torch.no_grad():
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outputs = model.generate(**inputs, max_length=200)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Gradio Interface
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interface = gr.Interface(
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fn=generate_response,
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inputs=gr.Textbox(label="Masukkan pertanyaan finansial"),
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outputs=gr.Textbox(label="Jawaban AI"),
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title="Financial AI Chatbot",
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description="Fine-tuned Falcon 7B Model untuk QnA Finansial."
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)
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if __name__ == "__main__":
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interface.launch()
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model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "vilsonrodrigues/falcon-7b-instruct-sharded",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query_key_value"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f00aff546715ff8f3831c1fdf2c8556ed57db905470bb3b8099f7f15a18aed51
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size 18883912
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requirements.txt
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gradio
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transformers
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torch
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peft
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accelerate
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huggingface_hub
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