Deepak Yadav commited on
Commit
8d6933e
Β·
1 Parent(s): 008fd00

updated new version deepseek-r1

Browse files
Files changed (2) hide show
  1. README.md +2 -3
  2. services/llm.py +2 -2
README.md CHANGED
@@ -3,11 +3,10 @@ title: LLM Based Custom Pdf Chatbot
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  emoji: πŸŒ–
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  colorFrom: indigo
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  colorTo: red
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- sdk: streamlit
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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: 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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  emoji: πŸŒ–
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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
services/llm.py CHANGED
@@ -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
@@ -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