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Update app.py
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app.py
CHANGED
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@@ -2,162 +2,71 @@ import os
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import time
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import streamlit as st
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import google.generativeai as genai
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from dotenv import load_dotenv
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#
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load_dotenv()
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genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
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model = genai.GenerativeModel('gemini-2.0-flash')
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#
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st.markdown("""
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<style>
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background-color: #121212 !important;
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color: #e0e0e0 !important;
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}
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/* Chat messages */
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[data-testid="stChatMessage"] {
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padding: 1rem;
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border-radius: 15px;
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margin: 1rem 0;
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box-shadow: 0 2px 8px rgba(255,255,255,0.1);
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}
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/* User message */
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.user-message {
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background: #1e1e1e !important;
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border: 1px solid #333 !important;
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color: #ffffff !important;
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}
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/* Assistant message */
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.assistant-message {
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background: #2a2a2a !important;
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border: 1px solid #444 !important;
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color: #ffffff !important;
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}
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/* Chat input */
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.stChatInput {
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position: fixed;
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bottom: 2rem;
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width: 75%;
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left: 50%;
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transform: translateX(-50%);
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background: #222 !important;
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color: #fff !important;
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border: 1px solid #555 !important;
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}
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/* Fix for buttons */
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.stButton>button {
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background-color: #333 !important;
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color: white !important;
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border: 1px solid #555 !important;
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}
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</style>
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""", unsafe_allow_html=True)
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# App
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st.title("
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st.caption("
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# Initialize session state
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if "history" not in st.session_state:
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st.session_state.history = []
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#
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for message in st.session_state.history:
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if message["role"] == "user":
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with st.chat_message("user", avatar="👤"):
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st.markdown(f"**You**: {message['content']}")
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else:
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with st.chat_message("assistant", avatar="🤖"):
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st.markdown(f"**Correction**: {message['content']['correction']}")
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st.markdown(f"**Explanation**: {message['content']['explanation']}")
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st.markdown(f"*<small>{message['content']['timestamp']}</small>*",
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unsafe_allow_html=True)
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# Chat input
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prompt = st.chat_input("
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if prompt:
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with st.chat_message("user", avatar="👤"):
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st.markdown(f"**You**: {prompt}")
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st.session_state.history.append({"role": "user", "content": prompt})
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# Generate response
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with st.spinner("Analyzing..."):
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try:
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When a user provides a sentence, first correct the sentence and then
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explain why the correction was necessary. Highlight grammatical mistakes,
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sentence structure issues, and word choice errors in a simple and understandable way.
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Always provide detailed explanations to help the user learn.
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Please provide the response in the following structured format:
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**Correction:** <Corrected Sentence>
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**Explanation:** <Brief Explanation of Errors>
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Sentence: {prompt}
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"""
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)
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# Ensure response exists
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response_text = response.text if response and hasattr(response, "text") else "Error in response"
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# Extract correction and explanation
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correction = ""
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explanation = ""
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if "**Correction:**" in response_text and "**Explanation:**" in response_text:
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parts = response_text.split("**Explanation:**")
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correction = parts[0].replace("**Correction:**", "").strip()
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explanation = parts[1].strip()
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else:
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# Fallback if formatting isn't followed
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lines = response_text.split("\n")
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if lines:
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correction = lines[0].strip()
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explanation = " ".join(lines[1:]).strip() if len(lines) > 1 else "Explanation not provided by the model."
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result = {
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"correction": f"✨ {correction}",
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"explanation": f"📚 {explanation}",
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"timestamp": time.strftime("%H:%M:%S")
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}
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# Add assistant message
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with chat_container:
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with st.chat_message("assistant", avatar="🤖"):
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st.markdown(f"**Correction**: {result['correction']}")
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st.markdown(f"**Explanation**: {result['explanation']}")
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st.markdown(f"*<small>{result['timestamp']}</small>*", unsafe_allow_html=True)
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st.session_state.history.append({
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"role": "assistant",
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"content": result
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})
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except Exception as e:
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st.error(f"Error processing request: {str(e)}")
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import time
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import streamlit as st
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import google.generativeai as genai
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from google.auth import default
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Check for credentials and configure Gemini
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if os.getenv("GOOGLE_APPLICATION_CREDENTIALS"):
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credentials, _ = default()
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genai.configure(credentials=credentials)
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else:
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st.error("❌ GOOGLE_APPLICATION_CREDENTIALS not set in the environment.")
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st.stop()
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# Initialize the model
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model = genai.GenerativeModel("gemini-2.0-pro")
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# Custom Streamlit styling (optional)
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st.markdown("""
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<style>
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body, .stApp { background-color: #121212 !important; color: #e0e0e0 !important; }
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.stChatInput { background: #222 !important; border: 1px solid #555 !important; }
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</style>
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""", unsafe_allow_html=True)
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# App Title
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st.title("📚 Grammar Guardian")
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st.caption("Correct grammar, get explanations, and improve your writing skills!")
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# Initialize session state
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if "history" not in st.session_state:
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st.session_state.history = []
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# Display chat history
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for message in st.session_state.history:
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role, content = message["role"], message["content"]
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with st.chat_message(role):
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st.markdown(content)
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# Chat input
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prompt = st.chat_input("Write a sentence you'd like to improve...")
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if prompt:
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with st.chat_message("user"):
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st.markdown(prompt)
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st.session_state.history.append({"role": "user", "content": prompt})
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with st.spinner("Analyzing..."):
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try:
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full_prompt = f"""
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You are an advanced grammar assistant. Correct the given sentence and explain the changes clearly.
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Respond in the following format:
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**Correction:** <Corrected Sentence>
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**Explanation:** <Why you corrected it>
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Sentence: {prompt}
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"""
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response = model.generate_content(full_prompt)
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result = response.text
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st.session_state.history.append({"role": "assistant", "content": result})
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with st.chat_message("assistant"):
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st.markdown(result)
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except Exception as e:
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st.error(f"Error: {e}")
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