Chatbot

app.py

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+# from dotenv import load_dotenv
+import streamlit as st
+import openai
+import os
+
+# Load environment variables
+# load_dotenv()
+
+# Set OpenAI API key
+# openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Function to get a response from OpenAI
+def get_openai_response(question):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": question}
+            ],
+            temperature=0.5
+        )
+        return response['choices'][0]['message']['content'].strip()
+    except Exception as e:
+        return f"An error occurred: {e}"
+
+# Initialize Streamlit app
+st.set_page_config(page_title="Q&A Demo")
+
+st.header("Langchain Application")
+
+input = st.text_input("Input: ", key="input")
+submit = st.button("Ask the question")
+
+if submit:
+    if input.strip():
+        response = get_openai_response(input)
+        st.subheader("The Response is")
+        st.write(response)
+    else:
+        st.warning("Please enter a question before submitting.")

requirements.txt

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