Update app.py

app.py

@@ -1,27 +1,25 @@
 import streamlit as st
 from langchain_google_genai import ChatGoogleGenerativeAI
 
-st.title("Exercise and Yoga Chatbot")
+st.title("Text Summarizer")
 
-def generate_response(topic):
-    prompt = (
-        f"Create a detailed guide on {topic}. Include instructions, tips, and benefits."
-    )
+def generate_summary(text):
+    prompt = f"Summarize the following text: {text}"
     llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["API_KEY"])
-    answers = llm.invoke(prompt)
-    answers = answers.content
-    return answers
+    summary = llm.invoke(prompt)
+    summary = summary.content
+    return summary
 
-with st.form("exercise_yoga_form"):
-    topic = st.text_area("Ask about Exercise or Yoga")
-    submitted = st.form_submit_button("Get Guide")
+with st.form("text_summarizer_form"):
+    text = st.text_area("Enter the text you want to summarize")
+    submitted = st.form_submit_button("Summarize")
     
-    if submitted and topic:
-        response = generate_response(topic)
-        st.subheader("Here is your guide:")
-        st.write(response)
-    elif submitted and not topic:
-        st.error("Please enter a topic to get a guide.")
+    if submitted and text:
+        summary = generate_summary(text)
+        st.subheader("Summary:")
+        st.write(summary)
+    elif submitted and not text:
+        st.error("Please enter text to summarize.")
 
-if st.button("Need Motivation?"):
-    st.write("Remember, consistency is key! Keep pushing forward and stay active. Your body will thank you!")
+if st.button("Need Inspiration?"):
+    st.write("Summarizing can help you understand the key points quickly. Keep practicing!")