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app.py

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+import streamlit as st
+import requests
+from streamlit import components
+import os
+
+
+# Accessing the secret
+api_token = os.environ["api_key"]
+
+# Endpoint Configuration
+API_URL = "https://g68dcpgzzj69vo6p.us-east-1.aws.endpoints.huggingface.cloud"
+headers = {
+    "Accept": "application/json",
+    "Authorization": f"Bearer {api_token}",
+    "Content-Type": "application/json"
+}
+
+# Function to query the API with the prompt template
+def query(user_input):
+    system_prompt = 'You are a helpful assistant that provides accurate and concise responses.'
+    formatted_input = f"<<SYS>>\n{system_prompt}\n<</SYS>>\n\n{user_input.strip()} [INST]\n\n"
+    payload = {
+        "inputs": formatted_input,
+        "parameters": {}
+    }
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+# Streamlit interface
+st.title('Burmese GPT Beta')
+
+# Example prompt (styled)
+example_prompt = "Example: ပုဂံအကြောင်း ပြောပြနိုင်မလား?"
+st.markdown(f'<p style="color:gray;">{example_prompt}</p>', unsafe_allow_html=True)
+
+user_input = st.text_input("Ask a question in Burmese:")
+
+if user_input:
+    with st.spinner('Waiting for response...'):
+        # Query the model
+        output = query(user_input)
+
+        # Display the result
+        if isinstance(output, list):
+            answer = output[0] if output else 'No response generated.'
+            st.write(answer)
+        elif 'error' in output:
+            st.error(f"Error: {output['error']}")
+        else:
+            st.write('Unexpected response format.')
+
+st.markdown("---")
+st.markdown("Contact: { Dr.WaiYan, [email protected]}")

requirements.txt

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+streamlit 
+requests