Update app.py

app.py

@@ -19,7 +19,7 @@ HUGGINGFACEHUB_API_TOKEN = os.getenv('HUGGINGFACEHUB_API_TOKEN')
 # Initialize the model instances
 repo_id = "mistralai/Mistral-7B-Instruct-v0.2"
 llm_model_instance = HuggingFaceEndpoint(
-    repo_id=repo_id, max_length=128, temperature=0.5, token=HUGGINGFACEHUB_API_TOKEN
+    repo_id=repo_id, max_length=128, temperature=0.3, token=HUGGINGFACEHUB_API_TOKEN
 )
 
 embedder_model_instance = HuggingFaceInferenceAPIEmbeddings(
@@ -59,7 +59,7 @@ def scrape_and_summarize(prompt, source):
             else:
                 raise ValueError(f"Invalid JSON output: {result}") from e
 
-    return result_json, prettify_exec_info(exec_info)
+    return result_json
 
 # Gradio interface
 with gr.Blocks() as demo: