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Runtime error
Deepak Yadav
commited on
Commit
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8d6933e
1
Parent(s):
008fd00
updated new version deepseek-r1
Browse files- README.md +2 -3
- services/llm.py +2 -2
README.md
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@@ -3,11 +3,10 @@ title: LLM Based Custom Pdf Chatbot
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emoji: 🌖
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colorFrom: indigo
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colorTo: red
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sdk:
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sdk_version: 1.42.0
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app_file: app.py
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pinned: false
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license:
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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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emoji: 🌖
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colorFrom: indigo
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colorTo: red
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sdk: docker
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app_file: app.py
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pinned: false
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license: apache-2.0
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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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services/llm.py
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@@ -23,7 +23,7 @@ def initialize_qa_chain(filepath, model_name, temperature, top_p, max_tokens):
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# Configure the LLM with additional parameters
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llm = OllamaLLM(
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model=model_name,
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base_url="https://deepak7376-ollama-server.hf.space",
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temperature=temperature, # Controls randomness (0 = deterministic, 1 = max randomness)
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max_tokens=max_tokens, # Limit the number of tokens in the output
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top_p=top_p # Nucleus sampling for controlling diversity
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@@ -71,7 +71,7 @@ def initialize_chain(model_name, temperature, top_p, max_tokens):
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# Configure the LLM with additional parameters
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llm = OllamaLLM(
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model=model_name,
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base_url="https://deepak7376-ollama-server.hf.space",
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temperature=temperature, # Controls randomness (0 = deterministic, 1 = max randomness)
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max_tokens=max_tokens, # Limit the number of tokens in the output
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top_p=top_p # Nucleus sampling for controlling diversity
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# Configure the LLM with additional parameters
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llm = OllamaLLM(
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model=model_name,
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# base_url="https://deepak7376-ollama-server.hf.space",
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temperature=temperature, # Controls randomness (0 = deterministic, 1 = max randomness)
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max_tokens=max_tokens, # Limit the number of tokens in the output
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top_p=top_p # Nucleus sampling for controlling diversity
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# Configure the LLM with additional parameters
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llm = OllamaLLM(
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model=model_name,
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# base_url="https://deepak7376-ollama-server.hf.space",
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temperature=temperature, # Controls randomness (0 = deterministic, 1 = max randomness)
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max_tokens=max_tokens, # Limit the number of tokens in the output
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top_p=top_p # Nucleus sampling for controlling diversity
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