Update app.py

app.py

@@ -23,6 +23,13 @@ from pydantic import BaseModel, Field, confloat
 #     model="deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
 #     api_base="http://localhost:8000"  # or DeepSeek API
 # )
+from langchain_community.llms import HuggingFaceHub
+#HuggingFaceH4/zephyr-7b-beta"
+llm = HuggingFaceHub(
+    repo_id="mistralai/Mistral-7B-Instruct-v0.2",
+    task="text-generation",
+)
+
 class SkillScore(BaseModel):
     skill_name: str = Field(description="Name of the skill being scored")
     required: bool = Field(description="Whether this skill is required or nice-to-have")
@@ -248,7 +255,7 @@ resume_analyzer = Agent(
                                 providing actionable suggestions for improvement. Your recommendations always
                                 focus on both human readability and ATS compatibility.""",
             verbose=True,
-            # llm = llm,
+            llm = llm,
             # knowledge_sources=[pdf_source],
         )
 job_analyzer = Agent(
@@ -261,7 +268,7 @@ job_analyzer = Agent(
                 and soft skills requirements, and can evaluate experience levels accurately.""",
             verbose=True,
             tools=[ScrapeWebsiteTool()],
-            # llm = llm,
+            llm = llm,
 
             # knowledge_sources=[pdf_source],
 )
@@ -275,7 +282,7 @@ company_researcher = Agent(
                 candidates for interviews. """,
             tools=[SerperDevTool()],
             verbose=True,
-            # llm = llm,
+            llm = llm,
 
             # knowledge_sources=[pdf_source],
 
@@ -289,7 +296,7 @@ resume_writer = Agent (
                     beautifully formatted, ATS-friendly documents that maintain professionalism
                     while showcasing candidate strengths effectively.""",
                 verbose=True,
-                # llm = llm,
+                llm = llm,
 
         )
 report_generator = Agent(
@@ -302,7 +309,7 @@ report_generator = Agent(
                     into clear, actionable insights with proper markdown formatting, emojis, and
                     visual elements that make information both appealing and easily digestible.""",
                 verbose=True,
-                # llm = llm,
+                llm = llm,
 
         )
 
@@ -499,7 +506,9 @@ def run_crew(api_key: str, job_url: str, company_name: str, resume_pdf_path: str
     if not api_key:
         return "⚠️ Please provide a valid OpenAI API Key."
 
-    os.environ["OPENAI_API_KEY"] = f"{api_key}"  # Set API key securely
+    os.environ["HUGGINGFACEHUB_API_TOKEN"] = f"{api_key}"  # Set API key securely
+    # os.environ["HUGGINGFACEHUB_API_TOKEN"] = userdata.get('HF_TOKEN')
+
     # Load PDF as knowledge source
     # pdf_source = resume_pdf_path
     pdf_source = PDFKnowledgeSource(