Update app.py
Browse files
app.py
CHANGED
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@@ -22,13 +22,21 @@ from sentence_transformers import SentenceTransformer, CrossEncoder
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from langdetect import detect, detect_langs
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from sklearn.ensemble import IsolationForest
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import joblib
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# Debug:
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try:
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from sentence_transformers import CrossEncoder
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st.write("sentence_transformers.CrossEncoder imported successfully")
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except ImportError as e:
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st.error(f"Failed to import CrossEncoder from sentence_transformers: {str(e)}")
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# Use tf_keras imports to match environment
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from tf_keras.models import load_model
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@@ -288,7 +296,7 @@ def predict_disease(query: str) -> Dict[str, Any]:
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if best_score < threshold:
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return {
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"message": {
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'mr': "हा रोग आमच्या डेटाबेसमध्ये
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'hi': "यह रोग हमारे डेटाबेस में नहीं है।",
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'en': "This disease is not in our database."
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}[lang],
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from langdetect import detect, detect_langs
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from sklearn.ensemble import IsolationForest
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import joblib
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import pkg_resources
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# Debug: Verify imports and library versions
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try:
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from sentence_transformers import CrossEncoder
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st.write("sentence_transformers.CrossEncoder imported successfully")
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st.write(f"sentence-transformers version: {pkg_resources.get_distribution('sentence-transformers').version}")
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try:
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import einops
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st.write(f"einops version: {pkg_resources.get_distribution('einops').version}")
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except ImportError:
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st.error("einops package is missing. Please ensure it is installed.")
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except ImportError as e:
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st.error(f"Failed to import CrossEncoder from sentence_transformers: {str(e)}")
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st.stop()
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# Use tf_keras imports to match environment
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from tf_keras.models import load_model
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if best_score < threshold:
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return {
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"message": {
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'mr': "हा रोग आमच्या डेटाबेसमध्ये नाही。",
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'hi': "यह रोग हमारे डेटाबेस में नहीं है।",
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'en': "This disease is not in our database."
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}[lang],
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