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Update app.py
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app.py
CHANGED
@@ -179,19 +179,12 @@ llm = Llama(model_path='./ggml-model-q8_0.gguf', n_ctx=2048)
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def read_email():
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df = pd.read_csv('./emails.csv')
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for i in df['Body']:
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prompt_ = f"<s>system:{prompt}<|end|><s>user:{i}<|end
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output = llm(prompt_, max_tokens=1000, temperature=0.1)
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print("*"*50)
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t = output['choices'][0]['text']
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print('input : ',i)
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print('output : ',t)
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# t = t[t.find('json\n')+len('json\n'):]
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extracted_details = json.loads(t)
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else:
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continue
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print(extracted_details)
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# print(extracted_details)
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print(type(extracted_details))
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meta_data = {
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def read_email():
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df = pd.read_csv('./emails.csv')
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for i in df['Body']:
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prompt_ = f"<s>system:{prompt}<|end|><s>user:{i}<|end|><s>assistant:"
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output = llm(prompt_, max_tokens=1000, temperature=0.1)
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print("*"*50)
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t = output['choices'][0]['text']
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extracted_details = json.loads(t[t.find('{'):t.find('}')+1])
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# print(extracted_details)
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print(type(extracted_details))
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meta_data = {
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