Create app.py

app.py

@@ -0,0 +1,28 @@
+import streamlit as st
+import requests
+from pydantic import BaseModel
+
+# Define API endpoint
+API_ENDPOINT = "http://localhost:8000/analyze/"
+
+# Define data model for API request
+class Text(BaseModel):
+    text: str
+
+# Streamlit uygulamasını oluştur
+st.title("Text Analysis App")
+
+# Kullanıcıdan metin girişini al
+input_text = st.text_area("Enter your text here:")
+
+if st.button("Analyze"):
+    # Send request
+    response = requests.post(API_ENDPOINT, json=Text(text=input_text).dict())
+
+    # Check response
+    if response.status_code == 200:
+        result = response.json()
+        st.write("Sentiment:", result["sentiment"])
+        st.write("Intention:", result["intention"])
+    else:
+        st.error("An error occurred while analyzing the text.")