Update src/streamlit_app.py

src/streamlit_app.py

@@ -21,7 +21,7 @@ st.title("🎙️ Speech Summarization with Moonshine ASR & LLM")
 with st.sidebar:
     st.header("⚙️ Settings")
     vad_threshold = st.slider("VAD Threshold", 0.1, 0.9, 0.5)
-    model_name = st.selectbox("Moonshine Model", model_names)
+    model_name = st.selectbox("Moonshine Model", model_names.keys())
     llm_model = st.selectbox("LLM for Summarization", list(available_gguf_llms.keys()))
     prompt_input = st.text_area("Custom Prompt", value="Summarize the transcript below.")
 
@@ -103,7 +103,7 @@ with tab3:
             st.session_state.transcript = ""
             
             for accumulated_transcript in transcribe_file(
-                st.session_state.audio_path, vad_threshold, model_name
+                st.session_state.audio_path, vad_threshold, model_names[model_name]
             ):
                 st.session_state.transcript = accumulated_transcript
                 live_transcript_placeholder.text(accumulated_transcript)