Create app.py

app.py

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+import streamlit as st
+import requests
+from transformers import pipeline
+import urllib3
+
+# Disable warnings
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+# Create a custom session
+session = requests.Session()
+session.verify = False  # Disable SSL verification
+
+# Set up the text generation pipeline
+pipe = pipeline("text-generation", model="meta-llama/Llama-3.1-8B-Instruct", use_auth_token=True, request_session=session)
+
+# Streamlit application
+st.title("Text Generation with Hugging Face")
+
+# User input
+user_input = st.text_input("You: ", "Who are you?")
+
+if st.button("Generate Response"):
+    if user_input:
+        messages = [{"role": "user", "content": user_input}]
+        response = pipe(messages)
+        generated_text = response[0]['generated_text']  # Adjust according to the response format
+        st.text_area("Bot:", generated_text, height=200)
+    else:
+        st.warning("Please enter a message.")