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Update app.py
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app.py
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@@ -27,6 +27,7 @@ from langchain.chat_models import ChatOpenAI
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from langchain.memory import ConversationBufferMemory
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from langchain.chains import ConversationalRetrievalChain
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from templates import css, bot_template, user_template
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# page config and sidebar declares up front allow all other functions to see global class variables
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st.set_page_config(page_title="GPT Streamlit Document Reasoner", layout="wide")
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@@ -196,6 +197,36 @@ def read_file_content(file,max_length):
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return file.getvalue().decode()
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else:
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return ""
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def chat_with_model(prompt, document_section, model_choice='gpt-3.5-turbo'):
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model = model_choice
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@@ -237,6 +268,7 @@ def chat_with_model(prompt, document_section, model_choice='gpt-3.5-turbo'):
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full_reply_content = ''.join([m.get('content', '') for m in collected_messages])
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st.write("Elapsed time:")
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st.write(time.time() - start_time)
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return full_reply_content
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def chat_with_file_contents(prompt, file_content, model_choice='gpt-3.5-turbo'):
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from langchain.memory import ConversationBufferMemory
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from langchain.chains import ConversationalRetrievalChain
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from templates import css, bot_template, user_template
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import streamlit.components.v1 as components # Import Streamlit Components for HTML5
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# page config and sidebar declares up front allow all other functions to see global class variables
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st.set_page_config(page_title="GPT Streamlit Document Reasoner", layout="wide")
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return file.getvalue().decode()
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else:
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return ""
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def readitaloud(result):
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documentHTML5='''
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<!DOCTYPE html>
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<html>
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<head>
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<title>Read It Aloud</title>
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<script type="text/javascript">
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function readAloud() {
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const text = document.getElementById("textArea").value;
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const speech = new SpeechSynthesisUtterance(text);
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window.speechSynthesis.speak(speech);
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}
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</script>
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</head>
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<body>
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<h1>🔊 Read It Aloud</h1>
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<textarea id="textArea" rows="10" cols="80">
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'''
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documentHTML5 = documentHTML5 + result
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documentHTML5 = documentHTML5 + '''
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</textarea>
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<br>
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<button onclick="readAloud()">🔊 Read Aloud</button>
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</body>
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</html>
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'''
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components.html(documentHTML5, width=1280, height=1024)
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#return result
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def chat_with_model(prompt, document_section, model_choice='gpt-3.5-turbo'):
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model = model_choice
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full_reply_content = ''.join([m.get('content', '') for m in collected_messages])
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st.write("Elapsed time:")
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st.write(time.time() - start_time)
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readitaloud(full_reply_content)
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return full_reply_content
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def chat_with_file_contents(prompt, file_content, model_choice='gpt-3.5-turbo'):
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