Upload 3 files
Browse files- .env +4 -0
- app.py +49 -0
- requirements.txt +3 -0
.env
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ELEVENLddABS_API_KEY = ""
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OPENAI_API_KEY = "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"
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TWILIO_ACCOUNT_SID = 'AC9bc4038b43c2abc63d16a0eec75a3a0b'
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TWILIO_AUTH_TOKEN = '6008c28dd0ef8d47beed448d871cd68d'
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app.py
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import os
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from dotenv import load_dotenv
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import streamlit as st
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import openai
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# Function to chat with GPT
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def chat_with_gpt(prompt):
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load_dotenv()
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openai.api_key = os.getenv("OPENAI_API_KEY")
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result = openai.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=[
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{
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"role": "user",
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"content": prompt
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}
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]
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)
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return result.choices[0].message.content
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# Streamlit UI
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def main():
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st.title("Generation and Analysis Tool with OpenAI")
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# Add text input field
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prompt = st.text_input("Please enter a question or request:")
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# Interaction options
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max_tokens = st.sidebar.slider("Max Tokens", min_value=10, max_value=200, value=50, step=10,
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help="Maximum number of tokens to generate")
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temperature = st.sidebar.slider("Temperature", min_value=0.1, max_value=1.0, value=0.5, step=0.1,
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help="Controls the randomness of the generated text. Higher values make the text "
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"more random.")
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# Add a button to trigger the chat
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if st.button("Enter"):
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if prompt.strip() == '':
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st.warning("Please enter a valid prompt.")
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else:
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response = chat_with_gpt(prompt)
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st.success("Here's the response:")
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st.write(response)
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if __name__ == "__main__":
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main()
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requirements.txt
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streamlit>=1.31.1
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openai>=1.12.0
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python-dotenv>=1.0.1
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