Update README.md

README.md

@@ -51,42 +51,8 @@ This is a reinforcement learning model trained to predict real-time sales conver
 pip install azure-openai stable-baselines3 numpy torch huggingface_hub
 ```
 
-### Setup Azure OpenAI Credentials
 
-```python
-import os
-os.environ["AZURE_OPENAI_API_KEY"] = "your-key-here"
-os.environ["AZURE_OPENAI_ENDPOINT"] = "https://your-resource.openai.azure.com/"
-```
-
-### Download Model
-
-```python
-from huggingface_hub import hf_hub_download
-
-model_path = hf_hub_download(
-    repo_id="{your-username}/sales-conversion-model",
-    filename="sales_model.zip"
-)
-```
-
-### Usage
-
-```python
-# Initialize agent
-agent = SalesAgent(model_path)
-
-# Analyze a conversation
-conversation = [
-    {"role": "user", "content": "I'm interested in your product"},
-    {"role": "assistant", "content": "Great! Let me tell you about our features..."}
-]
-
-results = agent.analyze_conversation(conversation)
-print(f"Predicted conversion: {results['final_probability']*100:.1f}%")
-```
-
-## Complete Inference Code (Azure OpenAI Only)
+## Complete Inference Code 
 
 ```python
 import os
@@ -98,7 +64,7 @@ from stable_baselines3 import PPO
 from stable_baselines3.common.torch_layers import BaseFeaturesExtractor
 from dataclasses import dataclass
 from typing import List, Dict
-
+from huggingface_hub import hf_hub_download
 # Azure OpenAI Configuration
 AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY")
 AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_ENDPOINT")
@@ -110,7 +76,10 @@ openai_client = AzureOpenAI(
     api_version="2023-05-15",
     azure_endpoint=AZURE_OPENAI_ENDPOINT
 )
-
+model_path = hf_hub_download(
+    repo_id="DeepMostInnovations/sales-conversion-model-reinf-learning",
+    filename="sales_model.zip"
+)
 # Check for GPU
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
@@ -222,7 +191,6 @@ class SalesAgent:
 
 # Example usage
 if __name__ == "__main__":
-    model_path = "path/to/sales_model.zip"
     agent = SalesAgent(model_path)
     
     conversation = [
@@ -238,9 +206,13 @@ if __name__ == "__main__":
 
 ```python
 from sales_inference import SalesAgent
-
+from huggingface_hub import hf_hub_download
+model_path = hf_hub_download(
+    repo_id="DeepMostInnovations/sales-conversion-model-reinf-learning",
+    filename="sales_model.zip"
+)
 # Initialize agent
-agent = SalesAgent("path/to/sales_model.zip")
+agent = SalesAgent(model_path)
 
 # Analyze conversation
 conversation = [