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e39a783
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Parent(s):
b884013
progress more 57
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app.py
CHANGED
@@ -76,6 +76,11 @@ def init_langchain_llm():
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model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
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tokenizer, model = load_model(model_id)
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# Authenticate using the token from Streamlit secrets
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if 'hf_token' in st.secrets:
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login(token=st.secrets['hf_token'])
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@@ -120,6 +125,7 @@ def init_langchain_llm():
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st.error(f"Failed to load model: {str(e)}")
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st.stop()
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def estimate_impact(llm, news_text, entity):
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template = """
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Analyze the following news piece about the entity "{entity}" and estimate its monetary impact in Russian rubles for this entity in the next 6 months. You should estimate the risk of loss or probability of profit.
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@@ -492,7 +498,7 @@ def create_output_file(df, uploaded_file, analysis_df):
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return output
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def main():
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st.title("... приступим к анализу... версия
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# Initialize session state
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if 'processed_df' not in st.session_state:
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model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
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tokenizer, model = load_model(model_id)
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except Exception as e:
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logger.error(f"Error loading model: {str(e)}", exc_info=True)
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st.error(f"Failed to load model: {str(e)}")
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st.stop()
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# Authenticate using the token from Streamlit secrets
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if 'hf_token' in st.secrets:
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login(token=st.secrets['hf_token'])
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st.error(f"Failed to load model: {str(e)}")
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st.stop()
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def estimate_impact(llm, news_text, entity):
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template = """
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Analyze the following news piece about the entity "{entity}" and estimate its monetary impact in Russian rubles for this entity in the next 6 months. You should estimate the risk of loss or probability of profit.
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return output
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def main():
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st.title("... приступим к анализу... версия 57")
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# Initialize session state
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if 'processed_df' not in st.session_state:
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