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app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="Mental Wellness Diary Analyzer", page_icon="🧠")
+st.title("🧠 Mental Wellness Diary Analyzer")
+
+# Load a lightweight language model
+generator = pipeline("text-generation", model="distilgpt2", max_new_tokens=200)
+
+def analyze_journal(entry):
+    prompt = f"""
+Analyze the following journal entry:
+"{entry}"
+
+Determine the following:
+1. Emotional tone of the journal.
+2. Any recurring themes or sentiments.
+3. Personalized motivational advice.
+
+Be friendly and encouraging in your tone.
+"""
+    output = generator(prompt)[0]["generated_text"]
+    return output.split("Determine the following:")[-1].strip()
+
+# User input
+journal_entry = st.text_area("✍️ Write your journal entry here:")
+
+if st.button("🧠 Analyze"):
+    if journal_entry.strip():
+        st.info("Analyzing your entry with AI...")
+        result = analyze_journal(journal_entry)
+        st.markdown("### 💬 Analysis Result")
+        st.write(result)
+    else:
+        st.warning("Please enter your journal entry first.")
+

requirements.txt

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+streamlit
+transformers
+torch