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Update app.py
Browse files
app.py
CHANGED
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@@ -38,7 +38,39 @@ from templates import css, bot_template, user_template
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st.set_page_config(page_title="GPT Streamlit Document Reasoner", layout="wide")
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should_save = st.sidebar.checkbox("💾 Save", value=True)
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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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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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@@ -385,36 +417,6 @@ 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 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=800, height=300)
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#return result
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def extract_mime_type(file):
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# Check if the input is a string
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st.set_page_config(page_title="GPT Streamlit Document Reasoner", layout="wide")
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should_save = st.sidebar.checkbox("💾 Save", value=True)
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# Read it aloud
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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=800, height=300)
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#return result
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# Chat and Chat with files
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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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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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return file.getvalue().decode()
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else:
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return ""
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def extract_mime_type(file):
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# Check if the input is a string
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