Create app.py

app.py

@@ -0,0 +1,98 @@
+import streamlit as st
+import openai
+
+ai_model = "gpt-4-turbo"
+token = 4096
+
+# Set the page title and favicon
+st.set_page_config(page_title="Rap Generator", page_icon=":bar_chart:")
+
+openai.api_key = st.secrets['OPENAI_API_KEY']
+st.title('Rap Generator')
+
+
+
+
+# Initialize the session state for 'authenticated' key
+if 'authenticated' not in st.session_state:
+    st.session_state['authenticated'] = False
+
+if 'usage_count' not in st.session_state:
+    st.session_state['usage_count'] = 0  # Usage counter
+
+password_key = st.secrets['PASSWORD']
+
+# Only show the login form if the user is not authenticated
+if not st.session_state['authenticated']:
+    password_placeholder = st.empty()
+    login_button_placeholder = st.empty()
+
+    password = password_placeholder.text_input("Enter your password", type="password")
+
+    if login_button_placeholder.button('Login'):
+        if password == password_key:
+            st.session_state['authenticated'] = True
+            st.session_state['usage_count'] = 0  # Reset the usage count upon new login
+            password_placeholder.empty()
+            login_button_placeholder.empty()
+            st.success("Login successful!")
+        else:
+            st.error('Wrong password')
+
+# If authenticated, show the main page content
+if st.session_state['authenticated']:
+    # Define a maximum number of uses
+    max_uses = 3
+
+    if st.session_state['usage_count'] < max_uses:
+        # Main Contents Start from here -------------------------------
+
+        st.subheader('English')
+        en_input_topic = st.text_input("Topic（e.g. Sunday）", key="en_input_topic")
+        en_input_occupation = st.text_input("Your Occupation(e.g. Data Scientist)", key="en_input_occupation")
+        en_input_message = st.text_input("What do you want to say? (e.g. prepare for tomorrow)", key="en_input_message")
+
+        if st.button("Generate a rap", key="en_generate_rap"):
+            # Create a prompt based on the user input
+            en_prompt = f"""
+            - Task： Generate a rap in English
+            - Length： a rap with 8 lines, each line having 8 beats.
+            - Topic：{en_input_topic}。
+            - Occupation： {en_input_occupation}。
+            - What you want to say： {en_input_message}。
+            """
+            # Make a request to the API to generate text
+            en_response = openai.ChatCompletion.create(
+                model=ai_model,  # Use the engine of your choice
+                messages=[{"role": "user", "content": en_prompt}],
+                max_tokens=token
+            )
+            st.write(en_response["choices"][0]["message"]["content"])
+
+        st.text(" ")
+        st.text(" ")
+
+
+        st.subheader('日本語')
+        ja_input_topic = st.text_input("トピック（例：日曜日）", key="ja_input_topic")
+        ja_input_occupation = st.text_input("あなたの仕事（例：データサイエンティスト）", key="ja_input_occupation")
+        ja_input_message = st.text_input("言いたいこと（例：明日に向けて気持ちを準備したい）", key="ja_input_message")
+
+        if st.button("Generate a rap", key="ja_generate_rap"):
+            # Create a prompt based on the user input
+            ja_prompt = f"""
+            - Task： Generate a rap in Japanese
+            - Length： a rap with 8 lines, each line having 8 beats.
+            - Topic：{ja_input_topic}。
+            - Occupation： {ja_input_occupation}。
+            - What you want to say： {ja_input_message}。
+            """
+            # Make a request to the API to generate text
+            ja_response = openai.ChatCompletion.create(
+                model=ai_model,  # Use the engine of your choice
+                messages=[{"role": "user", "content": ja_prompt}],
+                max_tokens=token
+            )
+            st.write(ja_response["choices"][0]["message"]["content"])
+    else:
+        st.error("You have reached your maximum usage limit.")