Delete app.py

app.py

@@ -1,45 +0,0 @@
-import os
-from huggingface_hub import InferenceClient
-import streamlit as st
-
-# Access your Hugging Face API token from the environment variable
-api_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
-if api_token is None:
-    st.error("Hugging Face API token is not set.")
-else:
-    st.title("Tanya Gizi!")
-
-    # Initialize chat history if not already present
-    if 'messages' not in st.session_state:
-        st.session_state.messages = []
-
-    # Display chat history
-    for message in st.session_state.messages:
-        st.chat_message(message['role']).markdown(message['content'])
-
-    # Input area for the user
-    prompt = st.chat_input('Masukan pertanyaanmu di sini!')
-
-    # Process user input
-    if prompt:
-        st.chat_message('user').markdown(prompt)
-        st.session_state.messages.append({'role': 'user', 'content': prompt})
-
-        # Generate a response using InferenceClient
-        client = InferenceClient(
-            model="mistralai/Mistral-Large-Instruct-2407",
-            token=api_token
-        )
-
-        # Generating response
-        response = client.chat_completion(
-            messages=[{"role": "user", "content": prompt}],
-            max_tokens=100,
-            stream=False  # Disable streaming as it's not supported
-        )
-
-        response_text = response['choices'][0]['message']['content']
-
-        # Display and store the assistant's response
-        st.chat_message('assistant').markdown(response_text)
-        st.session_state.messages.append({'role': 'assistant', 'content': response_text})