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Update app.py
Browse files
app.py
CHANGED
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@@ -1,20 +1,18 @@
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import streamlit as st
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from piper import PiperVoice
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import base64, tempfile, requests, os, re
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import whisper
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#
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st.set_page_config(page_title="Med11 β AI Emergency Guide", page_icon="π©Ί")
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# Groq key (unchanged)
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GROQ_API_KEY = st.secrets["GROQ_API_KEY"]
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# Session flags
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st.session_state.setdefault("show_numbers", False)
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st.session_state.setdefault("upload_id", 0)
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st.session_state.setdefault("chat_history", [])
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββ
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@st.cache_resource(show_spinner="Loading Whisper modelβ¦")
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def _load_whisper():
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return whisper.load_model("base")
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@@ -26,11 +24,7 @@ def groq_reply(prompt: str, model="llama3-8b-8192"):
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"messages": [
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{
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"role": "system",
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"content":
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"You are an emergency-response medic. "
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"Classify the emergency, rate severity, and give clear, step-by-step first-aid. "
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"Limit to 120 words."
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),
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},
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*st.session_state.chat_history,
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{"role": "user", "content": prompt},
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@@ -40,7 +34,7 @@ def groq_reply(prompt: str, model="llama3-8b-8192"):
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}
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r = requests.post(
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url, json=payload,
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headers={"Authorization": f"Bearer {GROQ_API_KEY}"},
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timeout=45,
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)
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r.raise_for_status()
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@@ -51,40 +45,34 @@ def transcribe_audio(file_path: str) -> str:
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result = model.transcribe(file_path)
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return result["text"]
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# ββββββββββββββββββββββββββββββββββββββββββ
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# Markdown sanitization for TTS
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# ββββββββββββββββββββββββββββββββββββββββββ
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def clean_text_for_tts(text: str) -> str:
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text = re.sub(r"\*\*|\*|__|_", "", text)
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text = re.sub(r"[|~>#]", "", text)
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text = re.sub(r"[\u2600-\u26FF\u2700-\u27BF]+", "", text)
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text = re.sub(r"\s+", " ", text)
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return text.strip()
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def tts_player(text: str):
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clean_text = clean_text_for_tts(text)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as fp:
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voice.synthesize(clean_text, fp.name)
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audio_bytes = open(fp.name, "rb").read()
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b64 = base64.b64encode(audio_bytes).decode()
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st.components.v1.html(
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f"""
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<audio id
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<source src
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</audio>
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<div style=\"margin-top:4px;\">
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<button onclick=\"document.getElementById('ttsAudio').playbackRate=1\">1Γ</button>
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<button onclick=\"document.getElementById('ttsAudio').playbackRate=1.5\">1.5Γ</button>
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<button onclick=\"document.getElementById('ttsAudio').playbackRate=2\">2Γ</button>
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</div>
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""",
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height=90,
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)
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os.remove(fp.name)
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#
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st.title("π©Ί Med11 β Upload Emergency Voice")
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if st.button("π Emergency Numbers"):
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@@ -92,24 +80,17 @@ if st.button("π Emergency Numbers"):
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if st.session_state.show_numbers:
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with st.expander("Key Emergency Numbers (Pakistan)", expanded=True):
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st.markdown(
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"""
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| Service | Number |
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|---------|--------|
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| π **Edhi Ambulance** | **115** |
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| π **Rescue / Fire** | **1122** |
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| π Police | **15** |
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| π Poison Control (NIH) | **051-9255075** |
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)
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# Upload audio
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uploader_key = f"audio_{st.session_state.upload_id}"
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audio_file = st.file_uploader(
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"Upload a WAV/MP3 describing the emergency",
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type=["wav", "mp3", "m4a"],
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key=uploader_key,
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)
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if audio_file:
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
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@@ -130,10 +111,7 @@ if audio_file:
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if transcript:
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with st.spinner("Analyzingβ¦"):
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try:
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result = groq_reply(
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f'Analyze this emergency: "{transcript}". '
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"Classify type, rate severity, and give brief first-aid steps."
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)
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st.session_state.chat_history.append({"role": "user", "content": transcript})
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st.session_state.chat_history.append({"role": "assistant", "content": result})
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except Exception as e:
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@@ -149,17 +127,10 @@ if audio_file:
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st.markdown("---")
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st.markdown("**Need to tell me more? Upload another voice clip below.**")
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# ββββββββββββββββββββββββββββββββββββββββββ
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col1, col2 = st.columns(2)
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with col1:
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if st.button("π₯ Nearest Hospital (Google Maps)"):
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st.markdown(
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"[Open Maps β](https://www.google.com/maps/search/hospital/)",
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unsafe_allow_html=True,
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)
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with col2:
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if st.button("
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st.markdown(
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"[Open Maps β](https://www.google.com/maps/search/pharmacy/)",
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unsafe_allow_html=True,
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)
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import streamlit as st
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import base64, tempfile, requests, os, re
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import whisper
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from piper import PiperVoice
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import numpy as np
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import soundfile as sf
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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st.set_page_config(page_title="Med11 β AI Emergency Guide", page_icon="π©Ί")
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GROQ_API_KEY = st.secrets["GROQ_API_KEY"]
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st.session_state.setdefault("show_numbers", False)
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st.session_state.setdefault("upload_id", 0)
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st.session_state.setdefault("chat_history", [])
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@st.cache_resource(show_spinner="Loading Whisper modelβ¦")
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def _load_whisper():
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return whisper.load_model("base")
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"messages": [
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{
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"role": "system",
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"content": "You are an emergency-response medic. Classify the emergency, rate severity, and give clear, step-by-step first-aid. Limit to 120 words.",
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},
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*st.session_state.chat_history,
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{"role": "user", "content": prompt},
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}
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r = requests.post(
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url, json=payload,
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headers={"Authorization": f"Bearer {GROQ_API_KEY.strip()}"},
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timeout=45,
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)
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r.raise_for_status()
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result = model.transcribe(file_path)
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return result["text"]
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def clean_text_for_tts(text: str) -> str:
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text = re.sub(r"\*\*|\*|__|_", "", text)
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text = re.sub(r"[|~>#]", "", text)
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text = re.sub(r"[\u2600-\u26FF\u2700-\u27BF]+", "", text)
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text = re.sub(r"\s+", " ", text)
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return text.strip()
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def tts_player(text: str):
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clean_text = clean_text_for_tts(text)
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voice = PiperVoice.load("models/en_US-amy-low.onnx")
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samples = voice.synthesize(clean_text)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as fp:
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sf.write(fp.name, samples, voice.sample_rate)
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audio_bytes = open(fp.name, "rb").read()
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b64 = base64.b64encode(audio_bytes).decode()
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st.components.v1.html(
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f"""
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<audio id="ttsAudio" controls style="width:100%;">
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<source src="data:audio/wav;base64,{b64}" type="audio/wav">
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</audio>
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""",
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height=90,
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)
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os.remove(fp.name)
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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st.title("π©Ί Med11 β Upload Emergency Voice")
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if st.button("π Emergency Numbers"):
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if st.session_state.show_numbers:
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with st.expander("Key Emergency Numbers (Pakistan)", expanded=True):
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st.markdown("""
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| Service | Number |
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|---------|--------|
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| π **Edhi Ambulance** | **115** |
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| π **Rescue / Fire** | **1122** |
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| π Police | **15** |
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| π Poison Control (NIH) | **051-9255075** |
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""")
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uploader_key = f"audio_{st.session_state.upload_id}"
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audio_file = st.file_uploader("Upload a WAV/MP3 describing the emergency", type=["wav", "mp3", "m4a"], key=uploader_key)
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if audio_file:
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
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if transcript:
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with st.spinner("Analyzingβ¦"):
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try:
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result = groq_reply(f'Analyze this emergency: "{transcript}". Classify type, rate severity, and give brief first-aid steps.')
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st.session_state.chat_history.append({"role": "user", "content": transcript})
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st.session_state.chat_history.append({"role": "assistant", "content": result})
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except Exception as e:
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st.markdown("---")
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st.markdown("**Need to tell me more? Upload another voice clip below.**")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("π₯ Nearest Hospital (Google Maps)"):
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st.markdown("[Open Maps β](https://www.google.com/maps/search/hospital/)", unsafe_allow_html=True)
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with col2:
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if st.button("πΊοΈ Nearby Pharmacies"):
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st.markdown("[Open Maps β](https://www.google.com/maps/search/pharmacy/)", unsafe_allow_html=True)
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