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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +9 -19
src/streamlit_app.py
CHANGED
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@@ -18,7 +18,7 @@ if not HF_TOKEN:
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st.stop()
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client = InferenceClient(
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model="
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token=HF_TOKEN
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)
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@@ -68,35 +68,34 @@ def speech_to_text(audio_file):
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return text
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# ==============================
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# TRANSLATION FUNCTION (
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# ==============================
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def translate(text, target_lang):
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# Detect language
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try:
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src_lang = detect(text)
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except:
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src_lang = "unknown"
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# Retrieve memory
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memory = retrieve_memory(text)
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# Prompt-based translation
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prompt = f"""
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You are
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Translate the following text into {target_lang}.
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Text:
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{text}
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"""
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try:
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response = client.
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prompt,
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-
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temperature=0.2
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)
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@@ -105,7 +104,6 @@ Only return the translated text.
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except Exception as e:
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translated = f"❌ Translation failed: {str(e)}"
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# Store memory
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store_memory(text, translated)
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return translated, src_lang, memory
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@@ -121,15 +119,11 @@ tab1, tab2 = st.tabs(["📝 Text Input", "🎤 Voice Input"])
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input_text = ""
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# ------------------------------
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# TEXT INPUT
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# ------------------------------
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with tab1:
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input_text = st.text_area("Enter text")
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# ------------------------------
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# VOICE INPUT
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# ------------------------------
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with tab2:
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audio_file = st.file_uploader("Upload audio (wav/mp3)", type=["wav", "mp3"])
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@@ -142,17 +136,13 @@ with tab2:
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st.success("Recognized Text:")
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st.write(input_text)
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# ------------------------------
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# TARGET LANGUAGE
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# ------------------------------
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target_lang = st.selectbox(
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"Target Language",
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["English", "Tamil", "Hindi", "French", "Arabic", "Spanish", "German"]
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)
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#
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# TRANSLATE BUTTON
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# ------------------------------
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if st.button("Translate"):
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if not input_text.strip():
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st.warning("Please provide input text or audio")
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st.stop()
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client = InferenceClient(
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model="google/gemma-2b-it", # ✅ FAST GEMMA MODEL
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token=HF_TOKEN
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)
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return text
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# ==============================
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# TRANSLATION FUNCTION (GEMMA)
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# ==============================
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def translate(text, target_lang):
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try:
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src_lang = detect(text)
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except:
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src_lang = "unknown"
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memory = retrieve_memory(text)
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prompt = f"""
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You are an expert translator.
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Translate the following text into {target_lang}.
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Text:
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{text}
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IMPORTANT:
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- Only return translated text
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- Do not explain anything
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"""
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try:
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response = client.text_generation(
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prompt,
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max_new_tokens=200,
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temperature=0.2
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)
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except Exception as e:
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translated = f"❌ Translation failed: {str(e)}"
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store_memory(text, translated)
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return translated, src_lang, memory
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input_text = ""
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# TEXT INPUT
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with tab1:
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input_text = st.text_area("Enter text")
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# VOICE INPUT
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with tab2:
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audio_file = st.file_uploader("Upload audio (wav/mp3)", type=["wav", "mp3"])
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st.success("Recognized Text:")
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st.write(input_text)
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# TARGET LANGUAGE
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target_lang = st.selectbox(
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"Target Language",
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["English", "Tamil", "Hindi", "French", "Arabic", "Spanish", "German"]
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)
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# TRANSLATE
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if st.button("Translate"):
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if not input_text.strip():
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st.warning("Please provide input text or audio")
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