Add update

app.py

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+import streamlit as st
+import requests
+
+st.title('Meditron Chat')
+
+# API_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-2-70b-chat-hf"
+# # headers = {
+# # 	"Accept" : "application/json",
+# # 	"Content-Type": "application/json" 
+# # }
+
+# auth = os.environ['auth']
+# headers = {"Authorization": f"{auth}"}
+
+# def query(payload):
+# 	response = requests.post(API_URL, headers=headers, json=payload)
+# 	return response.json()
+
+# output = query({
+# 	"inputs": "Can you get amnesia from anesthesia?",
+# 	"parameters": {}
+# })
+# st.write(f'Can you get amnesia from anesthesia?')
+
+# st.write(f'Model is thinking...')
+
+# print(f'Query response is {output}')
+# st.write(f'Query response is {output}')

requirements.txt

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+streamlit # this worked, but example gave one below: st-gsheets-connection
+requests
+# langchain 
+# wget 
+# llama-index 
+# cohere 
+# llama-cpp-python