Upload 2 files

app.py

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+# Q&A Chatbot
+
+import openai
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+# Load the enviroment variables from .env file
+load_dotenv()
+
+# Set the API key from environment variable
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Function to load OpenAI model to get response
+
+def get_openai_response(prompt):
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",  # You can change this to gpt-4 if you prefer
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    # Return the assistant's reply
+    return response['choices'][0]['message']['content']
+
+# Initialize streamlit page
+st.set_page_config(page_title="Q&A Chatbot")
+
+st.header("Langchain Application")
+
+input= st.text_input("Enter your prompt:")
+submit=st.button("Submit")
+
+# If button is clicked, get and display the response
+
+if submit:
+    response = get_openai_response(input)
+    st.subheader("Response")
+    st.write(response)
+
+
+

requirements.txt

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+langchain
+openai
+huggingface_hub
+python-dotenv
+streamlit