Spaces:
Sleeping
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Update app.py
Browse files
app.py
CHANGED
@@ -158,9 +158,87 @@ elif page == "Semantic Search":
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user_role = st.selectbox("Your Role", USER_ROLES, key="sem_role")
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with col4:
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explanation_language = st.selectbox("Explanation Language", EXPLANATION_LANGUAGES, key="sem_expl")
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st.
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if st.button("Run Semantic Search"):
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if not code_input.strip() or not question.strip():
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st.error("Both code and question are required.")
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@@ -170,4 +248,4 @@ elif page == "Semantic Search":
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with st.spinner("Running Semantic Search..."):
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answer = call_groq_api(f"{question}\n\nCode:\n{code_input}")
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st.success("Answer:")
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st.write(answer)
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user_role = st.selectbox("Your Role", USER_ROLES, key="sem_role")
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with col4:
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explanation_language = st.selectbox("Explanation Language", EXPLANATION_LANGUAGES, key="sem_expl")
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# Initialize session state variables for voice input and auto run
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if "voice_question" not in st.session_state:
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st.session_state.voice_question = ""
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if "auto_run_search" not in st.session_state:
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st.session_state.auto_run_search = False
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# Container for question input and voice button
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col_question, col_voice = st.columns([8,1])
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with col_question:
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question = st.text_input("Ask a question about your code", value=st.session_state.voice_question, key="question_input")
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with col_voice:
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# Microphone button with custom HTML and JS for voice input
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st.markdown(
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"""
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<button id="mic-btn" title="Click to speak" style="height:38px; width:38px; font-size:20px;">π€</button>
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<script>
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const micBtn = window.parent.document.querySelector('#mic-btn');
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const streamlitDoc = window.parent.document;
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// Use Web Speech API for voice recognition
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const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
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if (SpeechRecognition) {
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const recognition = new SpeechRecognition();
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recognition.lang = 'en-US';
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recognition.interimResults = false;
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recognition.maxAlternatives = 1;
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micBtn.onclick = () => {
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recognition.start();
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micBtn.textContent = 'ποΈ';
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};
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recognition.onresult = (event) => {
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const transcript = event.results[0][0].transcript;
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// Send transcript to Streamlit via custom event
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const inputEvent = new CustomEvent("voiceInput", {detail: transcript});
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streamlitDoc.dispatchEvent(inputEvent);
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micBtn.textContent = 'π€';
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};
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recognition.onerror = (event) => {
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console.error('Speech recognition error', event.error);
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micBtn.textContent = 'π€';
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};
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} else {
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micBtn.disabled = true;
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micBtn.title = "Speech Recognition not supported in this browser.";
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}
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</script>
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""",
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unsafe_allow_html=True
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)
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# Listen for the custom event and update session state via Streamlit's experimental_rerun hack
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# This requires a small hack using st.experimental_get_query_params and st.experimental_set_query_params
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# We will use st.experimental_get_query_params to detect voice input from URL params
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# Check if voice input is passed via query params
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query_params = st.experimental_get_query_params()
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if "voice_input" in query_params:
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voice_text = query_params["voice_input"][0]
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if voice_text != st.session_state.voice_question:
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st.session_state.voice_question = voice_text
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st.session_state.auto_run_search = True
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# Clear the query param to avoid repeated triggers
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st.experimental_set_query_params()
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# Run semantic search automatically if flag is set
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if st.session_state.auto_run_search:
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st.session_state.auto_run_search = False
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if not code_input.strip() or not st.session_state.voice_question.strip():
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st.error("Both code and question are required.")
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elif not code_matches_language(code_input, programming_language):
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st.error(f"Language mismatch. Please check your code and language selection.")
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else:
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with st.spinner("Running Semantic Search..."):
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answer = call_groq_api(f"{st.session_state.voice_question}\n\nCode:\n{code_input}")
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st.success("Answer:")
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st.write(answer)
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# Also keep the manual button for fallback
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if st.button("Run Semantic Search"):
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if not code_input.strip() or not question.strip():
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st.error("Both code and question are required.")
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with st.spinner("Running Semantic Search..."):
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answer = call_groq_api(f"{question}\n\nCode:\n{code_input}")
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st.success("Answer:")
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st.write(answer)
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