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| import streamlit as st | |
| import google.generativeai as genai | |
| import os | |
| genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
| model = genai.GenerativeModel("gemini-1.5-pro-latest") | |
| prompt = """ | |
| Input Text: {tamil_text} (Tanglish) | |
| Task: | |
| 1. Translate the input text to English. | |
| 2. Identify and explain grammatical errors. | |
| 3. Explain word choice and provide synonyms. | |
| give me the output in this format: | |
| 1. English Translation: The user input translated into grammatically correct English. | |
| 2. Grammar Explanation: A clear explanation of any grammatical errors in the user input (Tanglish) and suggestions for correction in Tamil. | |
| 3. Word Choice Explanation and Synonyms: Explanation of vocabulary meaning and synonyms in both English and Tamil. | |
| """ | |
| def generate_response(input_text): | |
| query = prompt.format(tamil_text=input_text) | |
| response = model.generate_content(query) | |
| response = response.text | |
| return st.markdown(response) | |
| st.title("English Teaching AI") | |
| user_query = st.text_area("Type Tamil or Tanglish sentance") | |
| submit = st.button("Analyze") | |
| if submit: | |
| with st.spinner("Processing..."): | |
| generate_response(user_query) |