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| import streamlit as st | |
| import requests | |
| API_URL = "https://manan77709-clearvoice-api.hf.space" | |
| st.set_page_config( | |
| page_title="ClearVoice", | |
| page_icon="🔬", | |
| layout="centered" | |
| ) | |
| st.title("🔬 ClearVoice") | |
| st.subheader("Medical Misinformation Checker") | |
| st.markdown("Enter a health claim and we'll verify it against peer-reviewed PubMed studies.") | |
| st.divider() | |
| claim = st.text_area( | |
| "Enter a health claim", | |
| placeholder="e.g. Vitamin C cures cancer", | |
| height=100 | |
| ) | |
| if st.button("Verify Claim", type="primary"): | |
| if not claim.strip(): | |
| st.error("Please enter a claim.") | |
| else: | |
| with st.spinner("Searching PubMed studies and generating verdict..."): | |
| try: | |
| response = requests.post( | |
| f"{API_URL}/verify", | |
| json={"claim": claim}, | |
| timeout=90 | |
| ) | |
| data = response.json() | |
| st.divider() | |
| verdict = data.get("verdict", "UNKNOWN") | |
| confidence = data.get("confidence", 0) | |
| evidence_strength = data.get("evidence_strength", "") | |
| if verdict == "TRUE": | |
| st.success(f"✅ Verdict: {verdict}") | |
| elif verdict == "FALSE": | |
| st.error(f"❌ Verdict: {verdict}") | |
| elif verdict == "MISLEADING": | |
| st.warning(f"⚠️ Verdict: {verdict}") | |
| else: | |
| st.info(f"ℹ️ Verdict: {verdict}") | |
| col1, col2 = st.columns(2) | |
| col1.metric("Confidence", f"{confidence * 100:.0f}%") | |
| col2.metric("Evidence Strength", evidence_strength) | |
| if data.get("cached"): | |
| st.caption("⚡ Result served from cache") | |
| # Decomposition | |
| decomposition = data.get("decomposition", {}) | |
| if decomposition.get("is_complex"): | |
| st.info(f"🔍 Complex claim detected — analyzed {len(decomposition.get('sub_claims', []))} sub-claims") | |
| for i, sc in enumerate(decomposition.get("sub_claims", []), 1): | |
| st.caption(f"{i}. {sc}") | |
| st.divider() | |
| # Plain English | |
| plain_english = data.get("plain_english", "") | |
| if plain_english: | |
| st.markdown("### 💬 In Plain English") | |
| st.write(plain_english) | |
| takeaway = data.get("takeaway", "") | |
| if takeaway: | |
| st.info(f"💡 **Takeaway:** {takeaway}") | |
| st.divider() | |
| # Technical explanation | |
| with st.expander("🔬 Technical Explanation"): | |
| st.write(data.get("explanation", "")) | |
| citations = data.get("citations", []) | |
| if citations: | |
| st.markdown("**Citations:**") | |
| for c in citations: | |
| pmid = c.get("pmid", "") | |
| title = c.get("title", "") | |
| if pmid and pmid.isdigit(): | |
| st.markdown(f"- **{title}** — [PubMed](https://pubmed.ncbi.nlm.nih.gov/{pmid}/)") | |
| else: | |
| st.markdown(f"- **{title}**") | |
| st.divider() | |
| # Judge agent results | |
| judge = data.get("judge", {}) | |
| if judge: | |
| st.markdown("### 📊 Evidence Quality Analysis") | |
| overall_quality = judge.get("overall_quality", "UNKNOWN") | |
| quality_explanation = judge.get("quality_explanation", "") | |
| if overall_quality == "HIGH": | |
| st.success(f"📊 Overall Evidence Quality: {overall_quality}") | |
| elif overall_quality == "MEDIUM": | |
| st.warning(f"📊 Overall Evidence Quality: {overall_quality}") | |
| else: | |
| st.error(f"📊 Overall Evidence Quality: {overall_quality}") | |
| st.caption(quality_explanation) | |
| judge_papers = judge.get("papers", []) | |
| papers = data.get("papers", []) | |
| if judge_papers: | |
| st.markdown("#### Study Breakdown") | |
| for jp, p in zip(judge_papers, papers): | |
| stance = jp.get("stance", "NEUTRAL") | |
| study_type = jp.get("study_type", "Unknown") | |
| quality_score = jp.get("quality_score", 0) | |
| summary = jp.get("one_line_summary", "") | |
| if stance == "SUPPORTS": | |
| icon = "🟢" | |
| elif stance == "CONTRADICTS": | |
| icon = "🔴" | |
| else: | |
| icon = "⚪" | |
| with st.expander(f"{icon} [{stance}] {p['title']} ({p['year']})"): | |
| col1, col2, col3 = st.columns(3) | |
| col1.metric("Study Type", study_type) | |
| col2.metric("Quality Score", f"{quality_score}/5") | |
| col3.metric("Similarity", p['similarity']) | |
| st.write(f"**Journal:** {p['journal']}") | |
| st.write(f"**Summary:** {summary}") | |
| st.markdown(f"[View on PubMed](https://pubmed.ncbi.nlm.nih.gov/{p['pmid']}/)") | |
| except Exception as e: | |
| st.error(f"Error connecting to API: {e}") |