Update README.md

README.md

@@ -27,7 +27,7 @@ MedCall AI is a tool that helps analyze patient calls. It figures out the caller
 ## What’s Inside?
 ```
 ├── app.py                  # Main application (UI)
-├── medcall_ai/
+├── vocca_ai/
 │   ├── ai_response.py      # Call summarization
 │   ├── intent_classifier.py # Intent detection
 │   ├── sentiment.py        # Sentiment analysis
@@ -65,7 +65,7 @@ streamlit run app.py
 ### Example Usage
 #### Summarizing a Call
 ```python
-from medcall_ai.ai_response import generate_call_summary
+from vocca_ai.ai_response import generate_call_summary
 
 sample_text = "I need an appointment as soon as possible."
 summary = generate_call_summary(sample_text)
@@ -74,7 +74,7 @@ print(f"Summary: {summary}")
 
 #### Detecting Intent
 ```python
-from medcall_ai.intent_classifier import classify_intent
+from vocca_ai.intent_classifier import classify_intent
 
 sample_text = "I want to book an appointment."
 intent = classify_intent(sample_text)
@@ -83,7 +83,7 @@ print(f"Intent: {intent}")
 
 #### Checking Sentiment
 ```python
-from medcall_ai.sentiment import analyze_sentiment
+from vocca_ai.sentiment import analyze_sentiment
 
 sample_text = "I have been feeling really sick."
 sentiment = analyze_sentiment(sample_text)
@@ -92,7 +92,7 @@ print(f"Sentiment: {sentiment}")
 
 #### Logging Calls
 ```python
-from medcall_ai.db_handler import log_call
+from vocca_ai.db_handler import log_call
 
 log_call("I need an appointment", "appointment", "Low", "Neutral", "You can book an appointment online.")
 ```
@@ -103,6 +103,3 @@ If you’d like to improve this project, feel free to fork it, make changes, and
 ## License
 This project is open-source under the MIT License.
 
-
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference