Update app.py

app.py

@@ -5,13 +5,6 @@ import numpy as np
 import os
 import hashlib
 from datetime import datetime
-from simple_salesforce import Salesforce
-
-# Salesforce credentials (store securely in environment variables)
-SF_USERNAME = os.getenv("SF_USERNAME", "smartvoicebot@voice.com")
-SF_PASSWORD = os.getenv("SF_PASSWORD", "voicebot1")
-SF_SECURITY_TOKEN = os.getenv("SF_SECURITY_TOKEN", "jq4VVHUFti6TmzJDjjegv2h6b")
-SF_INSTANCE_URL = os.getenv("SF_INSTANCE_URL", "https://voicebot-dev-ed.my.salesforce.com")  # Verify correct API URL
 
 # Hugging Face Inference API token (store in environment variables)
 HF_TOKEN = os.getenv("HF_TOKEN")  # Must be set in Space secrets
@@ -19,18 +12,6 @@ HF_TOKEN = os.getenv("HF_TOKEN")  # Must be set in Space secrets
 # Log HF_TOKEN status at startup
 print(f"HF_TOKEN status: {'Set' if HF_TOKEN else 'Not set'}")
 
-# Initialize Salesforce connection
-try:
-    sf = Salesforce(
-        username=SF_USERNAME,
-        password=SF_PASSWORD,
-        security_token=SF_SECURITY_TOKEN,
-        instance_url=SF_INSTANCE_URL
-    )
-except Exception as e:
-    print(f"Failed to connect to Salesforce: {str(e)}")
-    sf = None
-
 # Hugging Face API endpoints
 WHISPER_API_URL = "https://api-inference.huggingface.co/models/openai/whisper-tiny.en"
 SYMPTOM_API_URL = "https://api-inference.huggingface.co/models/abhirajeshbhai/symptom-2-disease-net"
@@ -155,10 +136,6 @@ def analyze_voice(audio_file):
         feedback += f"\n\n**Debug Info**: Transcription = '{transcription}', Prediction = {prediction}, Confidence = {score:.4f}, File Hash = {file_hash}"
         feedback += "\n**Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice."
         
-        # Store in Salesforce
-        if sf:
-            store_in_salesforce(audio_file, feedback, transcription, prediction, score)
-        
         # Clean up temporary audio file
         try:
             os.remove(audio_file)
@@ -170,20 +147,6 @@ def analyze_voice(audio_file):
     except Exception as e:
         return f"Error processing audio: {str(e)}"
 
-def store_in_salesforce(audio_file, feedback, transcription, prediction, score):
-    """Store analysis results in Salesforce."""
-    try:
-        sf.HealthAssessment__c.create({
-            "AssessmentDate__c": datetime.utcnow().isoformat(),
-            "Feedback__c": feedback,
-            "Transcription__c": transcription,
-            "Prediction__c": prediction,
-            "Confidence__c": float(score),
-            "AudioFileName__c": os.path.basename(audio_file)
-        })
-    except Exception as e:
-        print(f"Failed to store in Salesforce: {str(e)}")
-
 def test_with_sample_audio():
     """Test the app with sample audio files."""
     samples = ["audio_samples/sample.wav", "audio_samples/common_voice_en.wav"]