Upload app.py.py

app.py.py

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+# app.py
+
+import streamlit as st
+from langchain.llms import Ollama
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from textblob import TextBlob
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def load_model():
+    model = Ollama(model='llama3.1:latest', temperature=0.2)
+    return model
+
+def summarize_prompt():
+    return PromptTemplate(
+        input_variables=["email"],
+        template=(
+            """
+            1. Berdasarkan teks berikut, buat ringkasan singkat tentang tindakan utama yang dilakukan oleh user, ambil no resi pada text dalam format berikut:
+            [Aksi User] 
+
+            2. Berikan juga analisis sentimen percakapan user dengan salah satu label: 
+            - Positif
+            - Negatif
+            - Netral
+
+            Teks:
+            {email}
+
+            Ringkasan: 
+            Aksi User: [Deskripsikan tindakan utama user berdasarkan teks]
+            Sentimen: [Tentukan sentimen berdasarkan nada dan konteks teks]
+            """
+        )
+    )
+
+def simple_sentiment_analysis(text):
+    blob = TextBlob(text)
+    sentiment = blob.sentiment.polarity
+    if sentiment > 0:
+        return "Positif"
+    elif sentiment < 0:
+        return "Negatif"
+    else:
+        return "Netral"
+
+model = load_model()
+prompt = summarize_prompt()
+llm_chain = LLMChain(llm=model, prompt=prompt)
+
+def analyze_email(email):
+    result = llm_chain.run(email=email)
+    sentiment = simple_sentiment_analysis(email)
+    return result + f"\nSentimen Percakapan: {sentiment}"
+
+# Streamlit UI
+st.title("Sentiment Analysis and User Action Summarizer")
+st.write("Enter an email or text below to analyze the user's action and sentiment:")
+
+user_input = st.text_area("Email/Text Input", "", height=200)
+
+if st.button("Analyze"):
+    if user_input:
+        analysis_result = analyze_email(user_input)
+        st.subheader("Analysis Result:")
+        st.text(analysis_result)
+    else:
+        st.warning("Please enter some text to analyze.")