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Browse files- PDF_image.png +0 -0
- app.py +4 -6
- cropped_image.pdf +0 -0
    	
        PDF_image.png
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        app.py
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    | @@ -299,7 +299,7 @@ def create_dataframe_from_text_2(text): | |
| 299 | 
             
                data_dict = json.loads(text)
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| 300 |  | 
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                # Extract the 'transactions' data
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| 302 | 
            -
                transactions_data = data_dict.get(' | 
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                # Convert the 'transactions' list of dictionaries to a Pandas DataFrame
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                df = pd.DataFrame(transactions_data)
         | 
| @@ -359,7 +359,7 @@ ONLY return the JSON. | |
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            """
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            prompt_template_2 = PromptTemplate.from_template(
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                prompt_2 + "```{ | 
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                #prompt_2 + "```{loan_data} ```"
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            )
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            #prompt_template_2.format(response_1 =response_1, loan_data=result.lower())
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| @@ -388,10 +388,8 @@ if st.button('Get Loan Transactions', type="primary"): | |
| 388 |  | 
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                    #st.write(result.lower())
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                    #response_1 = get_completion(prompt_template_1, "",  result)
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            -
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            -
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                    #response_2 = OpenAI().complete(prompt_template_2.format(response = response.text, loan_data=result.lower()))
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                    response_2 = get_completion(prompt_template_2, response_1.text, result)
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                    #st.write(response_2)
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                    st.table(create_dataframe_from_text_2(response_2.text))
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| 397 |  | 
|  | |
| 299 | 
             
                data_dict = json.loads(text)
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                # Extract the 'transactions' data
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                transactions_data = data_dict.get('Loan Transaction Details', [])
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| 303 |  | 
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                # Convert the 'transactions' list of dictionaries to a Pandas DataFrame
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                df = pd.DataFrame(transactions_data)
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| 359 | 
             
            """
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| 360 |  | 
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            prompt_template_2 = PromptTemplate.from_template(
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                prompt_2 + "```{response_1} {loan_data} ```"
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                #prompt_2 + "```{loan_data} ```"
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            )
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            #prompt_template_2.format(response_1 =response_1, loan_data=result.lower())
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|  | |
| 388 |  | 
| 389 | 
             
                    #st.write(result.lower())
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| 390 | 
             
                    #response_1 = get_completion(prompt_template_1, "",  result)
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            +
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                    response_2 = OpenAI().complete(prompt_template_2.format(response_1=response_1.text, loan_data=result.lower()))
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| 393 | 
             
                    #st.write(response_2)
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                    st.table(create_dataframe_from_text_2(response_2.text))
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        cropped_image.pdf
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    | Binary files a/cropped_image.pdf and b/cropped_image.pdf differ | 
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