Spaces:
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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +36 -24
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="google-t5/t5-base",
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token=HF_TOKEN
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)
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@@ -68,38 +68,42 @@ def speech_to_text(audio_file):
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return text
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# ==============================
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#
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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 = "
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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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{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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)
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translated = response
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except Exception as e:
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translated = f"β Translation failed: {str(e)}"
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@@ -113,17 +117,21 @@ IMPORTANT:
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# ==============================
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st.set_page_config(page_title="AI Translator", layout="wide")
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st.title("π AI Translator with Voice")
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tab1, tab2 = st.tabs(["π Text Input", "π€ Voice Input"])
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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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@@ -136,13 +144,17 @@ with tab2:
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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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)
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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-t5/t5-base",
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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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# LANGUAGE MAP (IMPORTANT)
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# ==============================
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lang_map = {
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"English": "en",
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"Tamil": "ta",
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"Hindi": "hi",
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"French": "fr",
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"Arabic": "ar",
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"Spanish": "es",
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"German": "de"
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}
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# ==============================
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# TRANSLATION FUNCTION (FIXED)
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# ==============================
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def translate(text, target_lang):
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# Detect source 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 = "en"
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tgt_lang = lang_map[target_lang]
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memory = retrieve_memory(text)
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try:
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# β
Correct API for T5
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response = client.translation(
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text=text,
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src_lang=src_lang,
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tgt_lang=tgt_lang
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)
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translated = response["translation_text"]
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except Exception as e:
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translated = f"β Translation failed: {str(e)}"
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# ==============================
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st.set_page_config(page_title="AI Translator", layout="wide")
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st.title("π AI Translator with Voice (T5)")
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tab1, tab2 = st.tabs(["π Text Input", "π€ 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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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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list(lang_map.keys())
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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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