Sync changes - automated commit

.env.example

@@ -0,0 +1,3 @@
+# Hugging Face API token for accessing AI models
+# Get your token from https://huggingface.co/settings/tokens
+HUGGINGFACEHUB_API_TOKEN=your_huggingface_api_token_here

README.md

@@ -29,10 +29,12 @@ This tool helps automate lead generation and email outreach by combining the pow
    ```
    HUGGINGFACEHUB_API_TOKEN=your_huggingface_api_token
    ```
+   (You can copy from the provided `.env.example` file and fill in your token)
 
 2. Install dependencies:
    ```
    pip install -r requirements.txt
+   playwright install
    ```
 
 3. Run the application:
@@ -63,12 +65,30 @@ This tool helps automate lead generation and email outreach by combining the pow
 
 - gradio==5.4.0
 - langchain_community==0.3.5
+- langchain_huggingface==0.0.2
+- huggingface_hub>=0.19.0
 - python-dotenv==1.0.1
 - scrapegraphai==1.28.0
+- playwright==1.40.0
+
+## HuggingFace API Token
+
+This tool requires a HuggingFace API token to access the language models:
+
+1. Create a free account at [HuggingFace](https://huggingface.co/)
+2. Generate an API token from your account settings
+3. Add the token to your `.env` file:
+   ```
+   HUGGINGFACEHUB_API_TOKEN=your_huggingface_api_token
+   ```
+
+The application uses the following models:
+- Language model: Qwen/Qwen2.5-72B-Instruct
+- Embeddings model: sentence-transformers/all-MiniLM-l6-v2
 
 ## Note
 
-This tool uses AI models from Hugging Face for scraping. You need to obtain an API token from Hugging Face and add it to your `.env` file for the application to work.
+This tool uses AI models from Hugging Face for scraping and personalization. You need to obtain an API token from Hugging Face and add it to your `.env` file for the application to work.
 
 ## Contributing
 

app.py

@@ -15,7 +15,7 @@ import time
 
 # Ensure Playwright installs required browsers and dependencies
 subprocess.run(["playwright", "install"])
-#subprocess.run(["playwright", "install-deps"])
+subprocess.run(["playwright", "install-deps"])
 
 # Load environment variables
 load_dotenv()
@@ -25,9 +25,9 @@ HUGGINGFACEHUB_API_TOKEN = os.getenv('HUGGINGFACEHUB_API_TOKEN')
 repo_id = "Qwen/Qwen2.5-72B-Instruct"
 
 llm_model_instance = HuggingFaceEndpoint(
-    repo_id=repo_id, 
+    repo_id=repo_id,
     temperature=0.5,
-    max_tokens=128,
+    max_new_tokens=128,
     huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN
 )
 

requirements.txt

@@ -1,4 +1,8 @@
 gradio==5.4.0
 langchain_community==0.3.5
+langchain_huggingface==0.0.2
+huggingface_hub>=0.19.0
 python-dotenv==1.0.1
-scrapegraphai==1.28.0
+scrapegraphai==1.28.0
+playwright==1.40.0
+python-dotenv==1.0.1